--------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\Ben\Desktop\HKU Postdoc\Project\NHPI-exercise\Posted\NHPI-
> exercise Replication Package\20250825-brfss2015-2019-MI-pathanalysis-tableoutp
> ut.log
  log type:  text
 opened on:  29 Aug 2025, 00:12:17
r; t=0.02 0:12:17

. version 15.1
r; t=0.00 0:12:17

. clear   all
r; t=0.01 0:12:17

. macro   drop _all
r; t=0.00 0:12:17

. set     linesize 120
r; t=0.00 0:12:17

. set     scheme plottig
r; t=0.00 0:12:17

. set             more off
r; t=0.00 0:12:17

. set             varabbrev off
r; t=0.00 0:12:17

. set     rmsg on
r; t=0.00 0:12:17

. 
. // #0. Document this do-file
.         local today : di %tdCY/N/D daily("$S_DATE", "DMY")
r; t=0.00 0:12:17

.         tokenize `today',parse("/")
r; t=0.00 0:12:17

.         local year `1'
r; t=0.00 0:12:17

.         local month `3'
r; t=0.00 0:12:17

.         local day `5'
r; t=0.00 0:12:17

. 
.         local who "Ben Cheung"
r; t=0.00 0:12:17

.         local pgm "20250825-brfss2015-2019-MI-pathanalysis-tableoutput"
r; t=0.00 0:12:17

.         local date "`year'-`month'-`day'"
r; t=0.00 0:12:17

.         local tag "`pgm'.do by `who' on `date'"
r; t=0.00 0:12:17

.         display "The tag is: `tag'"
The tag is: 20250825-brfss2015-2019-MI-pathanalysis-tableoutput.do by Ben Cheung on 2025-08-29
r; t=0.00 0:12:17

. 
. 
.         local today : di %tdCYND daily("$S_DATE", "DMY")
r; t=0.00 0:12:17

. 
. 
.         *Check for installed packages
.         capture which scheme-plottig.scheme
r; t=0.00 0:12:17

.         if _rc!=0 ssc install blidschemes
r; t=0.00 0:12:17

. 
.         capture which confirmdir
r; t=0.00 0:12:17

.         if _rc!=0 ssc install confirmdir
r; t=0.00 0:12:17

. 
.         capture which estout
r; t=0.00 0:12:17

.         if _rc!=0 ssc install estout
r; t=0.00 0:12:17

. 
.         capture which sum2docx
r; t=0.00 0:12:17

.         if _rc!=0 ssc install sum2docx
r; t=0.00 0:12:17

. 
.         capture which tab2xl
r; t=0.00 0:12:17

.         if _rc!=0 net install http://www.stata.com/users/kcrow/tab2xl, replace
r; t=0.00 0:12:17

. 
.         set scheme plottig
r; t=0.00 0:12:17

. 
. 
. local folder "graph"
r; t=0.00 0:12:17

. confirmdir "`folder'"
r; t=0.00 0:12:17

. if `r(confirmdir)'==170 {
.         mkdir "`folder'"
r; t=0.00 0:12:17
. }
r; t=0.00 0:12:17

. 
. 
. local folder "graph/brfss2015-2019-MI-pathanalysis-tableoutput"
r; t=0.00 0:12:17

. confirmdir "`folder'"
r; t=0.00 0:12:17

. if `r(confirmdir)'==170 {
.         mkdir "`folder'"
r; t=0.00 0:12:17
. }
r; t=0.00 0:12:17

. 
. 
. local folder "model"
r; t=0.00 0:12:17

. confirmdir "`folder'"
r; t=0.00 0:12:17

. if `r(confirmdir)'==170 {
.         mkdir "`folder'"
r; t=0.00 0:12:17
. }
r; t=0.00 0:12:17

. 
. local folder "model/brfss2015-2019-MI-pathanalysis-tableoutput"
r; t=0.00 0:12:17

. confirmdir "`folder'"
r; t=0.00 0:12:17

. if `r(confirmdir)'==170 {
.         mkdir "`folder'"
r; t=0.00 0:12:17
. }
r; t=0.00 0:12:17

. 
. local folder "summary"
r; t=0.00 0:12:17

. confirmdir "`folder'"
r; t=0.00 0:12:17

. if `r(confirmdir)'==170 {
.         mkdir "`folder'"
r; t=0.00 0:12:17
. }
r; t=0.00 0:12:17

. 
. 
. 
. 
. *Define custom program to show command in loop
. program define pe
  1.         version 15.1
  2.         if `"`0'"' != "" {
  3.                 display("")
  4.                 display as input `". `0'"'
  5.                 `0'
  6.                 display("")
  7.         }
  8. end
r; t=0.00 0:12:17

. 
. 
. 
. 
. 
. // #1. Data management
. use "Data Ready for Analysis/brfss2015-impute-10-readyforanalysis.dta",clear
r; t=0.27 0:12:17

. 
. mi append using "Data Ready for Analysis/brfss2017-impute-10-readyforanalysis.dta"
r; t=200.41 0:15:38

. 
. mi append using "Data Ready for Analysis/brfss2019-impute-10-readyforanalysis.dta"
r; t=267.90 0:20:06

. 
. 
. mi svyset [pweight=svyweight], strata(strata) psu(psu) singleunit(centered)

      pweight: svyweight
          VCE: linearized
  Single unit: centered
     Strata 1: strata
         SU 1: psu
        FPC 1: <zero>
r; t=5.26 0:20:11

. 
. 
. 
. 
. 
. 
. // #3. Estimates output
. **************************************Whether there are any differences in exercises between NHPI and other racial/eth
> nic groups Start****************************************************
. local mname "exe_medb2"
r; t=0.00 0:20:11

. eststo `mname': mi estimate, cmdok post: svy: gsem (exe_aerobic_advice_m1 exe_strength_advice_m1 <- i.state c.yearsold
>  i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_m2 exe_strength_advice_m2 <- i.state c.yearsold i.year i.educ ib2.praceethnicgp_multi_sim, ologit)
>  ///
> (exe_aerobic_advice_m3 exe_strength_advice_m3 <- i.state c.yearsold i.year i.hhincome ib2.praceethnicgp_multi_sim, olo
> git) ///
> (exe_aerobic_advice_m4 exe_strength_advice_m4 <- i.state c.yearsold i.year i.educ i.hhincome ib2.praceethnicgp_multi_s
> im, ologit) ///
> (exe_aerobic_advice_f1 exe_strength_advice_f1 <- i.state c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f2 exe_strength_advice_f2 <- i.state c.yearsold i.year i.educ ib2.praceethnicgp_multi_sim, ologit)
>  ///
> (exe_aerobic_advice_f3 exe_strength_advice_f3 <- i.state c.yearsold i.year i.hhincome ib2.praceethnicgp_multi_sim, olo
> git) ///
> (exe_aerobic_advice_f4 exe_strength_advice_f4 <- i.state c.yearsold i.year i.educ i.hhincome ib2.praceethnicgp_multi_s
> im, ologit)

Multiple-imputation estimates
Survey: Generalized structural equation model

                                              Imputations       =           10
                                              Number of obs     =    1,123,687
Number of strata  =     1,727                 Population size   =  592,373,962
Number of PSUs    = 1,123,687
                                              Average RVI       =       0.0855
                                              Largest FMI       =       0.2235
                                              Complete DF       =      1121960
DF adjustment:   Small sample                 DF:     min       =       193.73
                                                      avg       =   771,886.96
Within VCE type:   Linearized                         max       = 1,121,956.80

-----------------------------------------------------------------------------------------
                        |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------------+----------------------------------------------------------------
exe_aerobic_advice_m1   |
                  state |
                     2  |   .4421746   .0580356     7.62   0.000     .3284268    .5559223
                     4  |   .3654471   .0408653     8.94   0.000     .2853525    .4455418
                     5  |   .0177833   .0532996     0.33   0.739    -.0866821    .1222488
                     6  |   .5681275   .0364102    15.60   0.000     .4967647    .6394902
                     8  |   .5643523   .0370024    15.25   0.000     .4918287    .6368758
                     9  |   .3893937   .0379759    10.25   0.000     .3149623    .4638251
                    10  |   .1488571   .0500504     2.97   0.003     .0507601    .2469542
                    11  |   .5462052   .0549588     9.94   0.000     .4384878    .6539225
                    12  |   .2633909   .0415493     6.34   0.000     .1819558    .3448261
                    13  |   .1871987   .0447681     4.18   0.000     .0994546    .2749427
                    15  |   .6477996    .042891    15.10   0.000     .5637344    .7318649
                    16  |    .265134   .0467538     5.67   0.000      .173498    .3567699
                    17  |   .2484792   .0406079     6.12   0.000     .1688892    .3280693
                    18  |  -.0368952   .0396485    -0.93   0.352    -.1146049    .0408144
                    19  |   .0170505   .0375336     0.45   0.650     -.056514     .090615
                    20  |   .1053363   .0336293     3.13   0.002      .039424    .1712486
                    21  |  -.2314569   .0464333    -4.98   0.000    -.3224647   -.1404492
                    22  |   .0421188   .0466989     0.90   0.367    -.0494094     .133647
                    23  |   .1228642   .0409412     3.00   0.003     .0426208    .2031076
                    24  |   .3758472   .0394944     9.52   0.000     .2984395     .453255
                    25  |   .2553788   .0424003     6.02   0.000     .1722756    .3384819
                    26  |   .2016953   .0372867     5.41   0.000     .1286145     .274776
                    27  |   .3127877   .0337354     9.27   0.000     .2466675    .3789079
                    28  |  -.1865694   .0464043    -4.02   0.000    -.2775202   -.0956186
                    29  |    .028556    .041092     0.69   0.487    -.0519829    .1090949
                    30  |   .3786606   .0431572     8.77   0.000     .2940739    .4632472
                    31  |   .0802656   .0353467     2.27   0.023     .0109873     .149544
                    32  |   .2099318   .0558667     3.76   0.000     .1004349    .3194286
                    33  |   .3769414   .0446848     8.44   0.000     .2893607    .4645221
                    34  |   .2169287   .0451859     4.80   0.000     .1283658    .3054916
                    35  |   .5038696   .0443049    11.37   0.000     .4170334    .5907058
                    36  |   .2060386   .0370166     5.57   0.000     .1334873    .2785899
                    37  |   .1811519   .0421957     4.29   0.000     .0984497     .263854
                    38  |  -.0471636   .0410335    -1.15   0.250    -.1275878    .0332607
                    39  |   .0914217    .038683     2.36   0.018     .0156043    .1672391
                    40  |  -.1633925   .0420373    -3.89   0.000    -.2457843   -.0810008
                    41  |   .4383959   .0422342    10.38   0.000     .3556183    .5211734
                    42  |   .1982792    .041413     4.79   0.000      .117111    .2794473
                    44  |   .2098683   .0448744     4.68   0.000     .1219161    .2978205
                    45  |   .1891659   .0385627     4.91   0.000     .1135843    .2647474
                    46  |   .0493362   .0484519     1.02   0.309    -.0456279    .1443003
                    47  |   .0414464   .0451058     0.92   0.358    -.0469594    .1298522
                    48  |   .0868265   .0431473     2.01   0.044     .0022592    .1713938
                    49  |   .3665671   .0354801    10.33   0.000     .2970274    .4361068
                    50  |   .4810156    .043956    10.94   0.000     .3948633    .5671678
                    51  |   .2541555   .0390416     6.51   0.000     .1776353    .3306757
                    53  |   .5585507   .0352128    15.86   0.000     .4895348    .6275666
                    54  |   -.007257   .0415547    -0.17   0.861    -.0887028    .0741887
                    55  |   .4105403   .0441855     9.29   0.000     .3239381    .4971424
                    56  |   .1807854   .0467212     3.87   0.000     .0892135    .2723573
                    66  |   .1682284   .0803588     2.09   0.036     .0107238    .3257331
                        |
               yearsold |   .0013904   .0003667     3.79   0.000     .0006718    .0021091
                        |
                   year |
                  2017  |  -.0190641   .0138537    -1.38   0.169    -.0462168    .0080886
                  2019  |   .0786134    .013878     5.66   0.000      .051413    .1058139
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .0813025   .1004298     0.81   0.418    -.1155833    .2781882
        1nHwhite_Multi  |  -.0353035   .1133091    -0.31   0.755    -.2574125    .1868054
           3NHPI_Multi  |   .0419405   .1634031     0.26   0.797    -.2783599    .3622409
                4Other  |  -.2629789   .1006478    -2.61   0.009    -.4602886   -.0656693
------------------------+----------------------------------------------------------------
exe_strength_advice_m1  |
                  state |
                     2  |   .3077339   .0632601     4.86   0.000     .1837462    .4317216
                     4  |   .2340445    .046331     5.05   0.000     .1432373    .3248517
                     5  |  -.0351978   .0600746    -0.59   0.558    -.1529421    .0825464
                     6  |    .239055   .0423939     5.64   0.000     .1559644    .3221456
                     8  |   .3395783   .0421714     8.05   0.000     .2569238    .4222328
                     9  |   .3212817   .0433671     7.41   0.000     .2362836    .4062799
                    10  |   .2727784   .0565404     4.82   0.000     .1619612    .3835956
                    11  |   .4468415   .0620534     7.20   0.000     .3252189     .568464
                    12  |   .3056964   .0462757     6.61   0.000     .2149976    .3963953
                    13  |   .3062086   .0506728     6.04   0.000     .2068916    .4055256
                    15  |   .3706167   .0486114     7.62   0.000       .27534    .4658934
                    16  |   .0798726   .0540175     1.48   0.139    -.0259998     .185745
                    17  |   .2236197   .0473404     4.72   0.000     .1308341    .3164053
                    18  |   .0788611   .0456588     1.73   0.084    -.0106286    .1683507
                    19  |  -.0282068   .0447391    -0.63   0.528     -.115894    .0594803
                    20  |   .0537288   .0394579     1.36   0.173    -.0236074    .1310649
                    21  |   -.069154   .0508445    -1.36   0.174    -.1688075    .0304994
                    22  |   .1400079   .0522778     2.68   0.007     .0375453    .2424706
                    23  |   .0000614   .0466206     0.00   0.999    -.0913134    .0914362
                    24  |   .3307694   .0456248     7.25   0.000     .2413464    .4201925
                    25  |   .1195658   .0471468     2.54   0.011     .0271597    .2119719
                    26  |   .1632885   .0428529     3.81   0.000     .0792983    .2472788
                    27  |   .1918258    .039168     4.90   0.000     .1150579    .2685937
                    28  |  -.0453226   .0539968    -0.84   0.401    -.1511545    .0605093
                    29  |   .0195087   .0483013     0.40   0.686    -.0751602    .1141777
                    30  |   .2254774   .0472932     4.77   0.000     .1327844    .3181704
                    31  |   .1124233   .0420363     2.67   0.007     .0300337    .1948129
                    32  |   .2797178   .0620947     4.50   0.000     .1580143    .4014214
                    33  |    .201147   .0501053     4.01   0.000     .1029423    .2993516
                    34  |   .4005451   .0513506     7.80   0.000     .2998996    .5011905
                    35  |   .3444837   .0491125     7.01   0.000     .2482249    .4407425
                    36  |   .2660011   .0421308     6.31   0.000     .1834262     .348576
                    37  |   .1378469   .0484176     2.85   0.004     .0429502    .2327437
                    38  |  -.0238713    .049289    -0.48   0.628     -.120476    .0727335
                    39  |   .1639937   .0446093     3.68   0.000      .076561    .2514265
                    40  |  -.0555042   .0487802    -1.14   0.255    -.1511117    .0401033
                    41  |    .122214   .0473742     2.58   0.010     .0293623    .2150658
                    42  |   .1624249   .0468458     3.47   0.001     .0706088     .254241
                    44  |   .1980814   .0519376     3.81   0.000     .0962855    .2998773
                    45  |   .1912788   .0445066     4.30   0.000     .1040475    .2785102
                    46  |   .0172861   .0577447     0.30   0.765    -.0958916    .1304637
                    47  |   .0942417   .0519815     1.81   0.070    -.0076402    .1961236
                    48  |   .2005015   .0489068     4.10   0.000     .1046459    .2963572
                    49  |   .2536516   .0411643     6.16   0.000     .1729709    .3343322
                    50  |     .14789      .0482     3.07   0.002     .0534197    .2423604
                    51  |   .2529836   .0443211     5.71   0.000     .1661157    .3398514
                    53  |   .1905722    .040638     4.69   0.000     .1109232    .2702212
                    54  |  -.3173945   .0496582    -6.39   0.000    -.4147229   -.2200661
                    55  |   .1629727   .0506329     3.22   0.001     .0637339    .2622115
                    56  |   .1951003   .0519128     3.76   0.000     .0933528    .2968477
                    66  |   .2270924   .0876469     2.59   0.010      .055303    .3988817
                        |
               yearsold |  -.0150332   .0004109   -36.59   0.000    -.0158385   -.0142279
                        |
                   year |
                  2017  |  -.0084746    .015621    -0.54   0.587    -.0390913    .0221421
                  2019  |   .2427024   .0151791    15.99   0.000     .2129519     .272453
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.2356315   .1035109    -2.28   0.023    -.4385563   -.0327068
        1nHwhite_Multi  |  -.0906705   .1191578    -0.76   0.447    -.3242814    .1429403
           3NHPI_Multi  |   .0761424   .1763449     0.43   0.666    -.2695065    .4217913
                4Other  |  -.2415952   .1039703    -2.32   0.020    -.4454239   -.0377665
------------------------+----------------------------------------------------------------
exe_aerobic_advice_m2   |
                  state |
                     2  |   .3888048   .0595378     6.53   0.000     .2721127    .5054968
                     4  |   .3086824   .0417466     7.39   0.000     .2268604    .3905044
                     5  |   .0486279   .0538353     0.90   0.366    -.0568876    .1541433
                     6  |   .5015303   .0373964    13.41   0.000     .4282346    .5748261
                     8  |   .4656031   .0377251    12.34   0.000     .3916631    .5395431
                     9  |   .3033907    .038979     7.78   0.000     .2269932    .3797882
                    10  |   .1031483   .0508375     2.03   0.042     .0035085    .2027882
                    11  |   .3100512   .0564465     5.49   0.000     .1994179    .4206844
                    12  |   .2165837   .0422256     5.13   0.000     .1338229    .2993446
                    13  |   .1462643   .0456482     3.20   0.001     .0567953    .2357333
                    15  |   .5076098   .0437418    11.60   0.000     .4218771    .5933426
                    16  |   .2380476   .0477577     4.98   0.000     .1444442     .331651
                    17  |   .1691079   .0414882     4.08   0.000     .0877924    .2504234
                    18  |  -.0368874   .0404439    -0.91   0.362     -.116156    .0423813
                    19  |  -.0086221   .0383054    -0.23   0.822    -.0836994    .0664553
                    20  |   .0409974   .0344396     1.19   0.234    -.0265031     .108498
                    21  |   -.195962   .0470712    -4.16   0.000      -.28822    -.103704
                    22  |   .0518038   .0477702     1.08   0.278    -.0418241    .1454317
                    23  |   .1041202   .0417526     2.49   0.013     .0222865    .1859538
                    24  |    .253819   .0405421     6.26   0.000     .1743578    .3332801
                    25  |   .1568784    .043295     3.62   0.000     .0720216    .2417351
                    26  |   .1579809   .0380306     4.15   0.000     .0834422    .2325196
                    27  |   .2400528   .0345103     6.96   0.000     .1724138    .3076918
                    28  |  -.1723497   .0471453    -3.66   0.000    -.2647529   -.0799464
                    29  |   .0078799   .0420132     0.19   0.851    -.0744646    .0902244
                    30  |   .3389877   .0437371     7.75   0.000     .2532645    .4247108
                    31  |   .0358684   .0360955     0.99   0.320    -.0348776    .1066145
                    32  |   .1822094   .0569579     3.20   0.001     .0705739    .2938449
                    33  |   .3109165   .0459614     6.76   0.000     .2208338    .4009992
                    34  |   .1146358   .0462449     2.48   0.013     .0239973    .2052742
                    35  |   .4617136   .0452668    10.20   0.000     .3729922    .5504351
                    36  |    .119413   .0379039     3.15   0.002     .0451225    .1937034
                    37  |   .1483642   .0429771     3.45   0.001     .0641306    .2325979
                    38  |   -.096819   .0418089    -2.32   0.021    -.1787629    -.014875
                    39  |   .0752826   .0394054     1.91   0.056    -.0019505    .1525158
                    40  |  -.1851501   .0428852    -4.32   0.000    -.2692036   -.1010967
                    41  |   .3841686   .0426998     9.00   0.000     .3004784    .4678588
                    42  |   .1752013   .0423283     4.14   0.000     .0922393    .2581633
                    44  |   .1851441     .04562     4.06   0.000     .0957305    .2745577
                    45  |   .1723936   .0393253     4.38   0.000     .0953174    .2494698
                    46  |   .0356576   .0496423     0.72   0.473    -.0616395    .1329548
                    47  |   .0473572   .0458744     1.03   0.302    -.0425551    .1372695
                    48  |   .0235959   .0442077     0.53   0.594    -.0630497    .1102415
                    49  |     .28126   .0362534     7.76   0.000     .2102045    .3523155
                    50  |   .4488491     .04472    10.04   0.000     .3611993    .5364988
                    51  |   .1620343   .0397559     4.08   0.000     .0841141    .2399545
                    53  |   .4744845   .0360732    13.15   0.000     .4037822    .5451868
                    54  |   .0801915   .0424083     1.89   0.059    -.0029273    .1633104
                    55  |   .3810164   .0448201     8.50   0.000     .2931706    .4688622
                    56  |   .1583201   .0477431     3.32   0.001     .0647453    .2518949
                    66  |   .0684533   .0808455     0.85   0.397    -.0900044     .226911
                        |
               yearsold |   .0029478   .0003741     7.88   0.000     .0022145     .003681
                        |
                   year |
                  2017  |  -.0262695   .0140599    -1.87   0.062    -.0538264    .0012874
                  2019  |   .0631023   .0140761     4.48   0.000     .0355137     .090691
                        |
                   educ |
              1HighSch  |   .4348158   .0233551    18.62   0.000     .3890406     .480591
          2SomeCollege  |   .7431473   .0234103    31.74   0.000     .6972639    .7890307
       3CollegeorAbove  |   1.122605   .0223008    50.34   0.000     1.078896    1.166314
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.1397619   .1016473    -1.37   0.169     -.339019    .0594952
        1nHwhite_Multi  |  -.1899873   .1148247    -1.65   0.098    -.4150608    .0350862
           3NHPI_Multi  |   -.022097   .1574357    -0.14   0.888    -.3307069    .2865129
                4Other  |  -.3192949   .1018714    -3.13   0.002    -.5189915   -.1195982
------------------------+----------------------------------------------------------------
exe_strength_advice_m2  |
                  state |
                     2  |   .2658164   .0638692     4.16   0.000     .1406349    .3909978
                     4  |   .1832569   .0468787     3.91   0.000     .0913762    .2751376
                     5  |  -.0084691   .0605652    -0.14   0.889    -.1271749    .1102366
                     6  |   .1787981   .0429526     4.16   0.000     .0946125    .2629837
                     8  |   .2590641   .0425342     6.09   0.000     .1756985    .3424296
                     9  |   .2575659   .0437953     5.88   0.000     .1717285    .3434033
                    10  |   .2433475   .0568476     4.28   0.000      .131928    .3547669
                    11  |   .2644548   .0631414     4.19   0.000     .1406999    .3882097
                    12  |   .2706917   .0468821     5.77   0.000     .1788044     .362579
                    13  |   .2812226   .0511891     5.49   0.000     .1808936    .3815515
                    15  |   .2600824   .0490027     5.31   0.000     .1640387    .3561262
                    16  |   .0574751   .0546421     1.05   0.293    -.0496216    .1645719
                    17  |   .1632647   .0479667     3.40   0.001     .0692515    .2572779
                    18  |   .0872571   .0461088     1.89   0.058    -.0031145    .1776287
                    19  |   -.049848   .0451637    -1.10   0.270    -.1383674    .0386713
                    20  |   .0096422   .0398853     0.24   0.809    -.0685316    .0878161
                    21  |  -.0360804   .0510889    -0.71   0.480     -.136213    .0640522
                    22  |   .1558053   .0531382     2.93   0.003     .0516563    .2599543
                    23  |  -.0103553   .0469258    -0.22   0.825    -.1023283    .0816177
                    24  |   .2382334   .0459716     5.18   0.000     .1481306    .3283362
                    25  |   .0455267   .0477569     0.95   0.340    -.0480752    .1391287
                    26  |   .1311527   .0433113     3.03   0.002     .0462639    .2160415
                    27  |   .1352428   .0395873     3.42   0.001     .0576531    .2128325
                    28  |   -.029933    .054403    -0.55   0.582     -.136561    .0766951
                    29  |   .0040442   .0486544     0.08   0.934    -.0913167    .0994052
                    30  |   .1928203   .0476706     4.04   0.000     .0993876     .286253
                    31  |   .0791075   .0424123     1.87   0.062    -.0040192    .1622341
                    32  |   .2611053   .0624542     4.18   0.000     .1386971    .3835134
                    33  |   .1534508   .0507858     3.02   0.003     .0539124    .2529891
                    34  |   .3294359   .0525931     6.26   0.000     .2263552    .4325166
                    35  |   .3057514   .0493234     6.20   0.000     .2090793    .4024235
                    36  |   .2028741   .0426162     4.76   0.000     .1193478    .2864005
                    37  |   .1142897   .0488328     2.34   0.019      .018579    .2100004
                    38  |  -.0590685   .0497513    -1.19   0.235    -.1565793    .0384423
                    39  |   .1615934   .0449655     3.59   0.000     .0734624    .2497243
                    40  |  -.0641689   .0491997    -1.30   0.192    -.1605986    .0322609
                    41  |   .0739298   .0477626     1.55   0.122    -.0196832    .1675428
                    42  |   .1465005   .0473222     3.10   0.002     .0537505    .2392504
                    44  |   .1775333   .0522693     3.40   0.001     .0750872    .2799794
                    45  |   .1811969    .044979     4.03   0.000     .0930396    .2693542
                    46  |   .0070522   .0583812     0.12   0.904     -.107373    .1214775
                    47  |   .0999094   .0526789     1.90   0.058    -.0033395    .2031584
                    48  |   .1597303   .0493942     3.23   0.001     .0629192    .2565413
                    49  |    .185012   .0415107     4.46   0.000     .1036524    .2663715
                    50  |   .1183511   .0486993     2.43   0.015     .0229021    .2138001
                    51  |   .1858573   .0446756     4.16   0.000     .0982946      .27342
                    53  |   .1176876   .0409982     2.87   0.004     .0373324    .1980428
                    54  |  -.2517704   .0500735    -5.03   0.000    -.3499128    -.153628
                    55  |   .1366563   .0515069     2.65   0.008     .0357045     .237608
                    56  |   .1794049   .0521375     3.44   0.001     .0772172    .2815925
                    66  |   .1556115   .0868227     1.79   0.073     -.014562     .325785
                        |
               yearsold |  -.0143007   .0004157   -34.40   0.000    -.0151156   -.0134859
                        |
                   year |
                  2017  |  -.0131867   .0157417    -0.84   0.402    -.0440399    .0176665
                  2019  |   .2347495   .0153583    15.28   0.000     .2046478    .2648513
                        |
                   educ |
              1HighSch  |   .3633066    .028288    12.84   0.000     .3078631    .4187501
          2SomeCollege  |   .6473276   .0283687    22.82   0.000     .5917258    .7029293
       3CollegeorAbove  |   .8935052   .0271419    32.92   0.000     .8403079    .9467026
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.4060802   .1027963    -3.95   0.000    -.6075989   -.2045614
        1nHwhite_Multi  |  -.2124737   .1186925    -1.79   0.074    -.4451727    .0202254
           3NHPI_Multi  |   .0444745   .1731818     0.26   0.797     -.294984     .383933
                4Other  |  -.2813645   .1031556    -2.73   0.006    -.4835906   -.0791385
------------------------+----------------------------------------------------------------
exe_aerobic_advice_m3   |
                  state |
                     2  |    .347498   .0593357     5.86   0.000     .2312017    .4637944
                     4  |   .3320313   .0413604     8.03   0.000     .2509657    .4130968
                     5  |   .0747284   .0539176     1.39   0.166    -.0309482    .1804051
                     6  |   .4619568   .0372004    12.42   0.000     .3890448    .5348688
                     8  |    .465643   .0376879    12.36   0.000     .3917759    .5395101
                     9  |    .269767   .0388639     6.94   0.000     .1935948    .3459392
                    10  |   .0731949   .0510001     1.44   0.151    -.0267636    .1731534
                    11  |   .3977189   .0565863     7.03   0.000     .2868111    .5086268
                    12  |   .2316064   .0422311     5.48   0.000     .1488349    .3143779
                    13  |    .136326   .0453478     3.01   0.003     .0474458    .2252061
                    15  |    .480774   .0435829    11.03   0.000      .395352    .5661959
                    16  |   .2580975   .0472619     5.46   0.000     .1654658    .3507293
                    17  |   .1502494   .0414304     3.63   0.000     .0690469    .2314519
                    18  |  -.0499618   .0403182    -1.24   0.215    -.1289845    .0290609
                    19  |  -.0397077      .0382    -1.04   0.299    -.1145785    .0351631
                    20  |   .0505605   .0342395     1.48   0.140    -.0165479    .1176689
                    21  |  -.2333151   .0465422    -5.01   0.000    -.3245363   -.1420939
                    22  |   .0098206   .0474953     0.21   0.836    -.0832687    .1029098
                    23  |   .1219007   .0415435     2.93   0.003     .0404767    .2033247
                    24  |   .2190416   .0404427     5.42   0.000     .1397753    .2983079
                    25  |   .1345394   .0430574     3.12   0.002     .0501477    .2189312
                    26  |   .1631567   .0378515     4.31   0.000     .0889689    .2373445
                    27  |   .2255008   .0343889     6.56   0.000     .1580996    .2929021
                    28  |  -.1615122   .0469165    -3.44   0.001    -.2534674   -.0695571
                    29  |   .0058119   .0420358     0.14   0.890    -.0765773    .0882011
                    30  |   .3832207   .0437562     8.76   0.000     .2974598    .4689816
                    31  |   .0273997   .0359971     0.76   0.447    -.0431538    .0979532
                    32  |   .1564536   .0570836     2.74   0.006     .0445717    .2683355
                    33  |   .2800615   .0453165     6.18   0.000     .1912426    .3688804
                    34  |   .0778392   .0462209     1.68   0.092    -.0127527     .168431
                    35  |   .4909444   .0452102    10.86   0.000     .4023337    .5795552
                    36  |   .1350173   .0378129     3.57   0.000     .0609049    .2091297
                    37  |   .1506877   .0427114     3.53   0.000     .0669748    .2344007
                    38  |  -.1329445   .0418922    -3.17   0.002    -.2150518   -.0508372
                    39  |   .0729638    .039323     1.86   0.064     -.004108    .1500356
                    40  |  -.1806015   .0428617    -4.21   0.000    -.2646093   -.0965937
                    41  |   .4212577   .0428134     9.84   0.000     .3373449    .5051705
                    42  |   .1388792   .0422924     3.28   0.001     .0559875     .221771
                    44  |   .1562956   .0454055     3.44   0.001      .067302    .2452893
                    45  |    .166261   .0391629     4.25   0.000     .0895029    .2430192
                    46  |   .0081905   .0497281     0.16   0.869    -.0892757    .1056566
                    47  |   .0457097   .0456477     1.00   0.317    -.0437585    .1351779
                    48  |   .0016572   .0438192     0.04   0.970    -.0842275    .0875419
                    49  |   .2680679   .0361218     7.42   0.000     .1972703    .3388655
                    50  |   .4657791   .0445143    10.46   0.000     .3785323    .5530258
                    51  |   .1361492   .0395777     3.44   0.001     .0585778    .2137206
                    53  |   .4633977   .0359033    12.91   0.000     .3930281    .5337674
                    54  |   .0759094   .0422117     1.80   0.072    -.0068244    .1586432
                    55  |   .3534152   .0448174     7.89   0.000     .2655744     .441256
                    56  |   .1274139   .0475743     2.68   0.007     .0341695    .2206583
                    66  |   .1305688   .0807781     1.62   0.106    -.0277537    .2888913
                        |
               yearsold |   .0036302   .0003718     9.76   0.000     .0029015    .0043588
                        |
                   year |
                  2017  |  -.0318208   .0141411    -2.25   0.024     -.059537   -.0041046
                  2019  |   .0423485   .0140553     3.01   0.003     .0148004    .0698967
                        |
               hhincome |
         1_10000-14999  |   .0102562   .0455232     0.23   0.822    -.0791479    .0996604
         2_15000-19999  |   .1377555   .0430761     3.20   0.001     .0530834    .2224277
         3_20000-24999  |   .1878629   .0397291     4.73   0.000     .1098716    .2658543
         4_25000-34999  |   .3003263   .0390851     7.68   0.000     .2235688    .3770838
         5_35000-49999  |   .5175623   .0377477    13.71   0.000     .4433607    .5917638
         6_50000-74999  |   .6784293   .0359237    18.89   0.000     .6079052    .7489535
              7_75000+  |   .9737359    .034494    28.23   0.000     .9060128    1.041459
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.1336343   .1020941    -1.31   0.191    -.3337641    .0664955
        1nHwhite_Multi  |  -.1540283   .1151892    -1.34   0.181    -.3798101    .0717534
           3NHPI_Multi  |  -.0230785   .1610043    -0.14   0.886    -.3387546    .2925976
                4Other  |  -.2858433   .1025898    -2.79   0.005     -.486954   -.0847325
------------------------+----------------------------------------------------------------
exe_strength_advice_m3  |
                  state |
                     2  |   .2402714   .0637594     3.77   0.000     .1153051    .3652377
                     4  |   .2070774   .0465433     4.45   0.000      .115854    .2983008
                     5  |   .0048659   .0604907     0.08   0.936    -.1136938    .1234257
                     6  |   .1634121   .0426109     3.83   0.000      .079896    .2469281
                     8  |   .2720853    .042387     6.42   0.000     .1890081    .3551625
                     9  |   .2417629   .0436327     5.54   0.000     .1562443    .3272815
                    10  |   .2246871   .0572734     3.92   0.000     .1124331    .3369411
                    11  |   .3501596   .0624434     5.61   0.000     .2277726    .4725465
                    12  |   .2854656   .0465641     6.13   0.000     .1942015    .3767298
                    13  |     .27402   .0509516     5.38   0.000     .1741565    .3738835
                    15  |   .2547616   .0489903     5.20   0.000     .1587419    .3507814
                    16  |   .0728964   .0542694     1.34   0.179    -.0334699    .1792627
                    17  |   .1581502   .0477092     3.31   0.001     .0646417    .2516586
                    18  |   .0728871    .045835     1.59   0.112     -.016948    .1627222
                    19  |    -.06484    .044995    -1.44   0.150    -.1530288    .0233487
                    20  |   .0177785   .0396795     0.45   0.654    -.0599921    .0955491
                    21  |  -.0654354   .0510402    -1.28   0.200    -.1654726    .0346018
                    22  |   .1219514   .0526879     2.31   0.021     .0186849    .2252179
                    23  |  -.0001515   .0469772    -0.00   0.997    -.0922253    .0919223
                    24  |   .2255624   .0457646     4.93   0.000     .1358653    .3152595
                    25  |   .0402685   .0475135     0.85   0.397    -.0528564    .1333934
                    26  |   .1379643   .0430877     3.20   0.001     .0535138    .2224147
                    27  |    .132522   .0394232     3.36   0.001     .0552539    .2097901
                    28  |  -.0221988    .054256    -0.41   0.682    -.1285388    .0841412
                    29  |   .0062803   .0486136     0.13   0.897    -.0890008    .1015614
                    30  |   .2239649   .0475618     4.71   0.000     .1307454    .3171844
                    31  |   .0797547   .0422427     1.89   0.059    -.0030395    .1625489
                    32  |   .2432677   .0621967     3.91   0.000     .1213643     .365171
                    33  |   .1357858   .0504105     2.69   0.007      .036983    .2345887
                    34  |   .3092709   .0518423     5.97   0.000     .2076617    .4108802
                    35  |   .3341491   .0494369     6.76   0.000     .2372543    .4310438
                    36  |   .2202597   .0423975     5.20   0.000     .1371619    .3033576
                    37  |    .116266   .0486669     2.39   0.017     .0208806    .2116515
                    38  |  -.0791327   .0497693    -1.59   0.112    -.1766789    .0184135
                    39  |   .1557146   .0448237     3.47   0.001     .0678617    .2435675
                    40  |  -.0623857   .0489583    -1.27   0.203    -.1583423     .033571
                    41  |   .1035973    .047499     2.18   0.029      .010501    .1966937
                    42  |   .1242959   .0472381     2.63   0.009     .0317109     .216881
                    44  |   .1633992   .0521221     3.13   0.002     .0612416    .2655568
                    45  |   .1773851   .0447314     3.97   0.000      .089713    .2650572
                    46  |   -.009726   .0582631    -0.17   0.867    -.1239197    .1044677
                    47  |   .0971432    .052226     1.86   0.063    -.0052181    .1995044
                    48  |    .145684   .0491114     2.97   0.003     .0494272    .2419407
                    49  |   .1858079   .0413614     4.49   0.000      .104741    .2668748
                    50  |   .1322487    .048637     2.72   0.007     .0369218    .2275756
                    51  |   .1758802    .044511     3.95   0.000       .08864    .2631203
                    53  |   .1215409   .0408944     2.97   0.003     .0413891    .2016926
                    54  |  -.2623103   .0499507    -5.25   0.000    -.3602121   -.1644085
                    55  |   .1229952   .0510311     2.41   0.016      .022976    .2230144
                    56  |   .1570413   .0522923     3.00   0.003     .0545502    .2595324
                    66  |   .2074044   .0878522     2.36   0.018     .0352149    .3795939
                        |
               yearsold |  -.0137985    .000418   -33.01   0.000    -.0146178   -.0129792
                        |
                   year |
                  2017  |  -.0168565   .0156974    -1.07   0.283     -.047623      .01391
                  2019  |   .2197098   .0152604    14.40   0.000        .1898    .2496197
                        |
               hhincome |
         1_10000-14999  |   .0000478   .0526541     0.00   0.999    -.1033786    .1034742
         2_15000-19999  |    .119443   .0470175     2.54   0.011     .0271485    .2117375
         3_20000-24999  |   .1876814   .0438175     4.28   0.000      .101747    .2736159
         4_25000-34999  |   .2688096   .0440181     6.11   0.000       .18234    .3552792
         5_35000-49999  |   .4308603   .0396894    10.86   0.000     .3530485    .5086721
         6_50000-74999  |   .5045006   .0396789    12.71   0.000     .4266531    .5823481
              7_75000+  |   .7029346   .0376175    18.69   0.000     .6291554    .7767137
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.3834914   .1054322    -3.64   0.000    -.5901677    -.176815
        1nHwhite_Multi  |  -.1704912   .1203306    -1.42   0.157    -.4063789    .0653965
           3NHPI_Multi  |   .0422593   .1769457     0.24   0.811    -.3045657    .3890842
                4Other  |  -.2560809     .10596    -2.42   0.016    -.4638007   -.0483612
------------------------+----------------------------------------------------------------
exe_aerobic_advice_m4   |
                  state |
                     2  |   .3404864   .0598799     5.69   0.000     .2231238     .457849
                     4  |   .3009579   .0418199     7.20   0.000     .2189924    .3829235
                     5  |   .0780966   .0541103     1.44   0.149    -.0279577     .184151
                     6  |    .451094   .0376851    11.97   0.000     .3772323    .5249558
                     8  |   .4270953   .0379605    11.25   0.000     .3526941    .5014966
                     9  |     .25017   .0393209     6.36   0.000     .1731022    .3272377
                    10  |   .0671749   .0512892     1.31   0.190    -.0333503       .1677
                    11  |   .2779986   .0571781     4.86   0.000     .1659313    .3900659
                    12  |   .2081994   .0424689     4.90   0.000     .1249618     .291437
                    13  |   .1246412   .0458406     2.72   0.007     .0347952    .2144871
                    15  |   .4357265    .043979     9.91   0.000     .3495286    .5219244
                    16  |   .2397335   .0477444     5.02   0.000     .1461561    .3333109
                    17  |   .1267336   .0418145     3.03   0.002     .0447785    .2086888
                    18  |  -.0449204   .0406554    -1.10   0.269    -.1246037     .034763
                    19  |  -.0383891   .0385358    -1.00   0.319    -.1139179    .0371397
                    20  |   .0223377   .0346395     0.64   0.519    -.0455546    .0902299
                    21  |   -.205381   .0470358    -4.37   0.000    -.2975695   -.1131925
                    22  |   .0291107   .0480091     0.61   0.544    -.0649854    .1232069
                    23  |   .1092636   .0419161     2.61   0.009     .0271095    .1914178
                    24  |   .1861344   .0409881     4.54   0.000      .105799    .2664697
                    25  |   .1062648   .0435273     2.44   0.015     .0209527    .1915769
                    26  |   .1448217   .0382287     3.79   0.000     .0698948    .2197487
                    27  |   .2024768   .0347478     5.83   0.000     .1343722    .2705813
                    28  |  -.1602616   .0473021    -3.39   0.001    -.2529721   -.0675511
                    29  |  -.0007694   .0423988    -0.02   0.986    -.0838698    .0823309
                    30  |   .3508533   .0439011     7.99   0.000     .2648085     .436898
                    31  |   .0130782   .0363312     0.36   0.719    -.0581299    .0842862
                    32  |   .1546999   .0574434     2.69   0.007     .0421128    .2672871
                    33  |   .2666301   .0460036     5.80   0.000     .1764646    .3567955
                    34  |   .0531762   .0466572     1.14   0.254    -.0382705    .1446229
                    35  |   .4638683   .0456177    10.17   0.000     .3744591    .5532776
                    36  |   .0969308   .0382212     2.54   0.011     .0220184    .1718432
                    37  |   .1376371   .0431624     3.19   0.001     .0530402    .2222339
                    38  |  -.1400054   .0421074    -3.32   0.001    -.2225344   -.0574764
                    39  |   .0682846    .039631     1.72   0.085    -.0093908      .14596
                    40  |  -.1906968   .0431566    -4.42   0.000    -.2752823   -.1061113
                    41  |   .3862735   .0429087     9.00   0.000     .3021739    .4703731
                    42  |   .1441417   .0426049     3.38   0.001     .0606376    .2276458
                    44  |   .1582034   .0458125     3.45   0.001     .0684123    .2479944
                    45  |   .1623731   .0395418     4.11   0.000     .0848725    .2398738
                    46  |   .0124227   .0500535     0.25   0.804    -.0856806    .1105259
                    47  |   .0497864   .0460601     1.08   0.280    -.0404899    .1400626
                    48  |  -.0148807   .0443709    -0.34   0.737    -.1018462    .0720849
                    49  |   .2391611   .0364693     6.56   0.000     .1676826    .3106396
                    50  |   .4486001   .0449344     9.98   0.000     .3605302      .53667
                    51  |   .1115636   .0399776     2.79   0.005     .0332088    .1899184
                    53  |    .434817   .0363116    11.97   0.000     .3636473    .5059866
                    54  |   .1126133   .0426152     2.64   0.008     .0290888    .1961377
                    55  |    .351435   .0450232     7.81   0.000     .2631911    .4396789
                    56  |   .1285994   .0478933     2.69   0.007     .0347301    .2224687
                    66  |   .0698697   .0808682     0.86   0.388    -.0886298    .2283691
                        |
               yearsold |   .0040001   .0003757    10.65   0.000     .0032638    .0047365
                        |
                   year |
                  2017  |  -.0324287   .0141889    -2.29   0.022    -.0602384    -.004619
                  2019  |   .0440012   .0141341     3.11   0.002     .0162988    .0717036
                        |
                   educ |
              1HighSch  |   .3142409   .0239865    13.10   0.000     .2672274    .3612544
          2SomeCollege  |   .5585853   .0245195    22.78   0.000     .5105267    .6066438
       3CollegeorAbove  |   .8272703   .0246299    33.59   0.000     .7789917    .8755489
                        |
               hhincome |
         1_10000-14999  |   .0018376   .0461275     0.04   0.968    -.0887809    .0924561
         2_15000-19999  |   .1086532   .0433774     2.50   0.013     .0233953     .193911
         3_20000-24999  |   .1221599   .0400856     3.05   0.002     .0434508     .200869
         4_25000-34999  |   .1962017   .0396654     4.95   0.000     .1182937    .2741097
         5_35000-49999  |   .3464007    .038569     8.98   0.000     .2705551    .4222462
         6_50000-74999  |   .4401826    .036812    11.96   0.000     .3679065    .5124588
              7_75000+  |   .6301519   .0359697    17.52   0.000     .5595216    .7007823
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.2204964   .1019125    -2.16   0.031    -.4202657    -.020727
        1nHwhite_Multi  |  -.2271169   .1150795    -1.97   0.048    -.4526822   -.0015515
           3NHPI_Multi  |  -.0444135   .1580513    -0.28   0.779    -.3542748    .2654478
                4Other  |  -.3181374    .102313    -3.11   0.002    -.5186982   -.1175767
------------------------+----------------------------------------------------------------
exe_strength_advice_m4  |
                  state |
                     2  |   .2370426   .0639465     3.71   0.000     .1117096    .3623755
                     4  |    .177611   .0468772     3.79   0.000     .0857333    .2694887
                     5  |   .0089692   .0606804     0.15   0.882    -.1099624    .1279008
                     6  |   .1495093     .04293     3.48   0.000      .065368    .2336507
                     8  |   .2381023    .042558     5.59   0.000       .15469    .3215145
                     9  |    .228004   .0438641     5.20   0.000     .1420318    .3139762
                    10  |   .2227853   .0571994     3.89   0.000     .1106764    .3348942
                    11  |   .2490426   .0631973     3.94   0.000     .1251781    .3729072
                    12  |   .2669789   .0468998     5.69   0.000     .1750569    .3589009
                    13  |    .268577   .0512445     5.24   0.000     .1681394    .3690145
                    15  |   .2181509   .0491246     4.44   0.000     .1218682    .3144335
                    16  |   .0574525   .0546361     1.05   0.293    -.0496323    .1645373
                    17  |   .1394577   .0480265     2.90   0.004     .0453274     .233588
                    18  |   .0826476   .0460957     1.79   0.073    -.0076984    .1729935
                    19  |  -.0657832   .0452058    -1.46   0.146     -.154385    .0228186
                    20  |  -.0017422   .0399158    -0.04   0.965    -.0799758    .0764913
                    21  |   -.039459   .0511388    -0.77   0.440    -.1396894    .0607714
                    22  |   .1441062    .053186     2.71   0.007     .0398636    .2483489
                    23  |  -.0079022   .0470392    -0.17   0.867    -.1000974     .084293
                    24  |   .1989396    .046026     4.32   0.000     .1087301     .289149
                    25  |   .0171592   .0478351     0.36   0.720    -.0765961    .1109144
                    26  |   .1234215   .0433485     2.85   0.004     .0384599    .2083832
                    27  |   .1134415   .0396337     2.86   0.004     .0357608    .1911222
                    28  |  -.0200054   .0544479    -0.37   0.713    -.1267214    .0867107
                    29  |   .0000745   .0487472     0.00   0.999    -.0954683    .0956174
                    30  |   .1984069   .0476967     4.16   0.000     .1049231    .2918907
                    31  |   .0670697   .0424431     1.58   0.114    -.0161173    .1502567
                    32  |   .2447496   .0623931     3.92   0.000     .1224611     .367038
                    33  |   .1276067   .0507989     2.51   0.012     .0280425    .2271708
                    34  |   .2946625   .0526155     5.60   0.000     .1915378    .3977871
                    35  |   .3079189   .0494558     6.23   0.000     .2109873    .4048505
                    36  |   .1909908   .0426678     4.48   0.000     .1073634    .2746183
                    37  |   .1062341   .0488942     2.17   0.030      .010403    .2020651
                    38  |  -.0827834   .0498801    -1.66   0.097    -.1805467    .0149799
                    39  |   .1579137   .0449973     3.51   0.000     .0697205    .2461069
                    40  |   -.066297   .0492014    -1.35   0.178    -.1627301    .0301361
                    41  |   .0731165   .0477343     1.53   0.126    -.0204412    .1666741
                    42  |   .1297396    .047402     2.74   0.006     .0368332     .222646
                    44  |   .1632422   .0523024     3.12   0.002     .0607313    .2657532
                    45  |   .1753894   .0450085     3.90   0.000     .0871744    .2636045
                    46  |  -.0053857   .0584509    -0.09   0.927    -.1199476    .1091762
                    47  |    .100658   .0526964     1.91   0.056    -.0026252    .2039413
                    48  |     .13693   .0493655     2.77   0.006     .0401753    .2336846
                    49  |   .1604253   .0415423     3.86   0.000     .0790038    .2418468
                    50  |   .1158501   .0488392     2.37   0.018     .0201269    .2115733
                    51  |   .1561779     .04473     3.49   0.000     .0685086    .2438472
                    53  |   .0939274   .0410597     2.29   0.022     .0134518     .174403
                    54  |  -.2329285   .0501308    -4.65   0.000    -.3311832   -.1346737
                    55  |   .1199439   .0515251     2.33   0.020     .0189564    .2209314
                    56  |   .1618007   .0522217     3.10   0.002      .059448    .2641535
                    66  |    .159342   .0870424     1.83   0.067    -.0112607    .3299448
                        |
               yearsold |  -.0137794   .0004182   -32.95   0.000    -.0145989   -.0129598
                        |
                   year |
                  2017  |  -.0167812   .0157533    -1.07   0.287    -.0476572    .0140948
                  2019  |   .2239462   .0153555    14.58   0.000     .1938499    .2540425
                        |
                   educ |
              1HighSch  |   .2869946   .0288472     9.95   0.000     .2304549    .3435343
          2SomeCollege  |    .533313   .0295157    18.07   0.000     .4754623    .5911637
       3CollegeorAbove  |   .7177039   .0295047    24.33   0.000     .6598733    .7755345
                        |
               hhincome |
         1_10000-14999  |  -.0093422   .0529697    -0.18   0.860    -.1133908    .0947064
         2_15000-19999  |   .0934917   .0472617     1.98   0.048     .0007313    .1862522
         3_20000-24999  |   .1285698   .0440356     2.92   0.004     .0422058    .2149339
         4_25000-34999  |    .177908   .0442528     4.02   0.000     .0910295    .2647866
         5_35000-49999  |   .2787178   .0400862     6.95   0.000     .2001385     .357297
         6_50000-74999  |   .2946623   .0404934     7.28   0.000      .215235    .3740896
              7_75000+  |   .4088058   .0389744    10.49   0.000     .3323805     .485231
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.4543374   .1036818    -4.38   0.000    -.6575814   -.2510934
        1nHwhite_Multi  |  -.2321057   .1190628    -1.95   0.051    -.4655153    .0013039
           3NHPI_Multi  |   .0341297   .1747606     0.20   0.845    -.3084189    .3766783
                4Other  |  -.2817235   .1041487    -2.71   0.007      -.48589   -.0775569
------------------------+----------------------------------------------------------------
exe_aerobic_advice_f1   |
                  state |
                     2  |   .6940907    .056906    12.20   0.000     .5825568    .8056247
                     4  |   .4941476   .0346878    14.25   0.000     .4261606    .5621345
                     5  |  -.0416008   .0421071    -0.99   0.323    -.1241292    .0409276
                     6  |   .7389026   .0330967    22.33   0.000     .6740341    .8037711
                     8  |   .7352077    .032303    22.76   0.000     .6718948    .7985205
                     9  |   .4274338   .0323646    13.21   0.000     .3640002    .4908673
                    10  |   .2470348   .0420685     5.87   0.000      .164582    .3294876
                    11  |   .6631491   .0477706    13.88   0.000     .5695203    .7567779
                    12  |   .3853014   .0354365    10.87   0.000     .3158471    .4547556
                    13  |   .2121423   .0371274     5.71   0.000     .1393738    .2849108
                    15  |   .6650232   .0408648    16.27   0.000     .5849292    .7451171
                    16  |   .5222349   .0414315    12.60   0.000     .4410305    .6034393
                    17  |     .40514   .0353351    11.47   0.000     .3358844    .4743955
                    18  |   .0501444   .0333397     1.50   0.133    -.0152003    .1154891
                    19  |    .290881   .0325432     8.94   0.000     .2270975    .3546646
                    20  |   .2468515   .0286967     8.60   0.000     .1906069    .3030961
                    21  |  -.2437411   .0393869    -6.19   0.000    -.3209381   -.1665441
                    22  |   .0658628    .038002     1.73   0.083    -.0086197    .1403454
                    23  |    .316161   .0337072     9.38   0.000      .250096    .3822259
                    24  |    .444984   .0330292    13.47   0.000     .3802478    .5097202
                    25  |   .3239364   .0366366     8.84   0.000     .2521299    .3957428
                    26  |   .3022708   .0315779     9.57   0.000     .2403792    .3641624
                    27  |   .5117398   .0287851    17.78   0.000      .455322    .5681577
                    28  |  -.1452729   .0374622    -3.88   0.000    -.2186975   -.0718483
                    29  |   .1608015   .0351015     4.58   0.000     .0920038    .2295992
                    30  |   .5917393   .0378326    15.64   0.000     .5175887    .6658899
                    31  |   .3127323    .030409    10.28   0.000     .2531317     .372333
                    32  |   .4070973   .0495778     8.21   0.000     .3099264    .5042682
                    33  |   .4581425   .0379252    12.08   0.000     .3838104    .5324746
                    34  |   .2225589   .0379682     5.86   0.000     .1481425    .2969753
                    35  |   .5693915   .0377944    15.07   0.000     .4953158    .6434672
                    36  |   .2298988   .0319974     7.18   0.000     .1671849    .2926127
                    37  |   .3276313   .0366223     8.95   0.000     .2558528    .3994099
                    38  |   .1885657    .037279     5.06   0.000     .1155001    .2616313
                    39  |   .1742826   .0324449     5.37   0.000     .1106918    .2378735
                    40  |  -.0248141   .0346957    -0.72   0.474    -.0928165    .0431883
                    41  |   .6142121   .0377873    16.25   0.000     .5401504    .6882739
                    42  |   .2920468    .036134     8.08   0.000     .2212254    .3628682
                    44  |   .2575005   .0373237     6.90   0.000     .1843472    .3306538
                    45  |   .2157863   .0330641     6.53   0.000     .1509819    .2805908
                    46  |   .3751147   .0423249     8.86   0.000     .2921594      .45807
                    47  |    .055458   .0379419     1.46   0.144    -.0189067    .1298228
                    48  |   .1674503   .0374755     4.47   0.000     .0939995    .2409011
                    49  |   .5144976   .0311313    16.53   0.000     .4534813    .5755138
                    50  |   .6382859   .0375029    17.02   0.000     .5647814    .7117904
                    51  |   .3357161   .0331501    10.13   0.000      .270743    .4006892
                    53  |   .6752791   .0306374    22.04   0.000     .6152307    .7353274
                    54  |    .003532   .0351576     0.10   0.920    -.0653757    .0724396
                    55  |   .5022447   .0392935    12.78   0.000     .4252308    .5792586
                    56  |   .4432714   .0402083    11.02   0.000     .3644645    .5220783
                    66  |   .2974552   .0826525     3.60   0.000     .1354507    .4594598
                        |
               yearsold |  -.0064321   .0003356   -19.17   0.000    -.0070898   -.0057744
                        |
                   year |
                  2017  |  -.0418748   .0126542    -3.31   0.001    -.0666766    -.017073
                  2019  |  -.0026446   .0124331    -0.21   0.832     -.027013    .0217237
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .4856055   .1021836     4.75   0.000     .2852609    .6859502
        1nHwhite_Multi  |   .4519915   .1153995     3.92   0.000     .2257558    .6782272
           3NHPI_Multi  |   .1743027   .1666927     1.05   0.296    -.1524247      .50103
                4Other  |   .0461362   .1019766     0.45   0.651    -.1537822    .2460545
------------------------+----------------------------------------------------------------
exe_strength_advice_f1  |
                  state |
                     2  |   .4170197   .0624383     6.68   0.000     .2946427    .5393967
                     4  |   .4377002   .0425271    10.29   0.000     .3543485     .521052
                     5  |    .047754    .054603     0.87   0.382     -.059266    .1547739
                     6  |   .4069984    .041306     9.85   0.000     .3260401    .4879568
                     8  |   .5766073   .0392773    14.68   0.000     .4996251    .6535896
                     9  |   .4914213    .039723    12.37   0.000     .4135656     .569277
                    10  |   .3644545   .0515894     7.06   0.000      .263341     .465568
                    11  |   .6030404   .0564311    10.69   0.000     .4924374    .7136434
                    12  |   .4232568   .0434416     9.74   0.000     .3381127    .5084009
                    13  |   .3198136   .0468935     6.82   0.000     .2279039    .4117233
                    15  |   .4889174   .0505579     9.67   0.000     .3898252    .5880097
                    16  |   .3107843   .0499953     6.22   0.000     .2127952    .4087735
                    17  |   .4088868   .0441692     9.26   0.000     .3223166    .4954569
                    18  |   .1519913   .0420245     3.62   0.000     .0696247    .2343578
                    19  |   .3037236   .0412916     7.36   0.000     .2227935    .3846537
                    20  |   .2634624   .0367408     7.17   0.000     .1914516    .3354731
                    21  |  -.0051225   .0479565    -0.11   0.915    -.0991157    .0888706
                    22  |   .1633515   .0479641     3.41   0.001     .0693435    .2573596
                    23  |   .2608504   .0418142     6.24   0.000     .1788961    .3428048
                    24  |   .4105751   .0413943     9.92   0.000     .3294438    .4917065
                    25  |    .370614   .0442651     8.37   0.000      .283856     .457372
                    26  |   .3184504   .0394519     8.07   0.000      .241126    .3957747
                    27  |   .4509317   .0364204    12.38   0.000     .3795489    .5223145
                    28  |  -.0065121   .0487722    -0.13   0.894    -.1021039    .0890797
                    29  |   .1308331   .0451564     2.90   0.004      .042328    .2193381
                    30  |   .5346894   .0448955    11.91   0.000     .4466956    .6226831
                    31  |    .327387   .0390169     8.39   0.000     .2509151    .4038588
                    32  |   .4097321   .0601642     6.81   0.000     .2918123    .5276518
                    33  |   .4582016   .0452611    10.12   0.000     .3694914    .5469119
                    34  |   .3495591   .0473287     7.39   0.000     .2567964    .4423218
                    35  |   .5240514   .0463128    11.32   0.000       .43328    .6148229
                    36  |   .3510549   .0392787     8.94   0.000       .27407    .4280398
                    37  |   .1689043   .0465488     3.63   0.000     .0776703    .2601384
                    38  |   .1971804   .0479948     4.11   0.000     .1031123    .2912486
                    39  |   .2224305   .0409003     5.44   0.000     .1422674    .3025937
                    40  |    .035817    .045159     0.79   0.428    -.0526931    .1243271
                    41  |   .4042384   .0445223     9.08   0.000     .3169762    .4915006
                    42  |   .2786956    .045346     6.15   0.000     .1898189    .3675723
                    44  |   .2817794   .0459647     6.13   0.000     .1916902    .3718686
                    45  |   .2934093    .041808     7.02   0.000     .2114672    .3753515
                    46  |   .2681521   .0531066     5.05   0.000     .1640649    .3722393
                    47  |   .2172248   .0474887     4.57   0.000     .1241486    .3103011
                    48  |   .3149897   .0472369     6.67   0.000      .222407    .4075724
                    49  |   .4644827   .0388182    11.97   0.000     .3884005     .540565
                    50  |   .5480077   .0439133    12.48   0.000     .4619391    .6340763
                    51  |   .3836663   .0413157     9.29   0.000      .302689    .4646436
                    53  |   .4871249   .0379922    12.82   0.000     .4126614    .5615884
                    54  |  -.1620321   .0460391    -3.52   0.000    -.2522673    -.071797
                    55  |   .3452256   .0472132     7.31   0.000     .2526894    .4377618
                    56  |   .4152586   .0483911     8.58   0.000     .3204136    .5101036
                    66  |   .1471499   .0990499     1.49   0.137    -.0470246    .3413244
                        |
               yearsold |  -.0097046   .0003926   -24.72   0.000    -.0104741   -.0089352
                        |
                   year |
                  2017  |   .0368014    .015188     2.42   0.015     .0070333    .0665695
                  2019  |   .3150629   .0145684    21.63   0.000     .2865093    .3436165
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .0967221   .1207557     0.80   0.423    -.1402569    .3337011
        1nHwhite_Multi  |   .1903712   .1357847     1.40   0.161    -.0760323    .4567746
           3NHPI_Multi  |   .1995327   .2114555     0.94   0.345    -.2149369    .6140022
                4Other  |  -.1244666   .1213542    -1.03   0.305    -.3626465    .1137133
------------------------+----------------------------------------------------------------
exe_aerobic_advice_f2   |
                  state |
                     2  |   .5964086   .0574595    10.38   0.000     .4837899    .7090273
                     4  |   .4604787   .0352406    13.07   0.000     .3914083     .529549
                     5  |  -.0275686   .0426613    -0.65   0.518    -.1111834    .0560462
                     6  |   .6782106   .0338775    20.02   0.000     .6118119    .7446092
                     8  |   .6275531   .0327627    19.15   0.000     .5633393    .6917668
                     9  |   .3263804   .0327238     9.97   0.000     .2622429    .3905178
                    10  |   .1724286   .0428374     4.03   0.000     .0884688    .2563885
                    11  |   .4321307   .0481132     8.98   0.000     .3378304    .5264309
                    12  |   .3362591   .0357449     9.41   0.000     .2662003    .4063178
                    13  |    .153085   .0377348     4.06   0.000     .0791262    .2270439
                    15  |   .4916597   .0415763    11.83   0.000     .4101708    .5731485
                    16  |   .5120639   .0421157    12.16   0.000     .4295186    .5946092
                    17  |   .3341961   .0358064     9.33   0.000     .2640168    .4043755
                    18  |   .0437851   .0335301     1.31   0.192    -.0219328     .109503
                    19  |   .2491759   .0329282     7.57   0.000     .1846378     .313714
                    20  |   .1726588   .0289655     5.96   0.000     .1158874    .2294302
                    21  |  -.2109124   .0394562    -5.35   0.000    -.2882452   -.1335796
                    22  |   .0670523   .0384035     1.75   0.081    -.0082172    .1423219
                    23  |   .2684674   .0340635     7.88   0.000      .201704    .3352307
                    24  |   .3134343   .0330627     9.48   0.000     .2486325    .3782361
                    25  |   .2043996   .0369927     5.53   0.000     .1318952     .276904
                    26  |   .2527904   .0319888     7.90   0.000     .1900935    .3154873
                    27  |   .4200613   .0290825    14.44   0.000     .3630606    .4770621
                    28  |   -.155058   .0377622    -4.11   0.000    -.2290705   -.0810454
                    29  |   .1337572   .0356796     3.75   0.000     .0638264     .203688
                    30  |   .5479186   .0383531    14.29   0.000     .4727477    .6230894
                    31  |   .2532094   .0307149     8.24   0.000     .1930092    .3134096
                    32  |    .408618   .0500283     8.17   0.000     .3105641    .5066718
                    33  |    .391346   .0382923    10.22   0.000     .3162943    .4663976
                    34  |   .1265771   .0384542     3.29   0.001     .0512083     .201946
                    35  |   .5225109   .0385163    13.57   0.000     .4470202    .5980016
                    36  |   .1522924   .0323683     4.70   0.000     .0888516    .2157333
                    37  |   .2776309   .0369632     7.51   0.000     .2051842    .3500775
                    38  |   .1121393   .0376276     2.98   0.003     .0383904    .1858882
                    39  |   .1463175    .032665     4.48   0.000     .0822953    .2103397
                    40  |  -.0445208   .0351403    -1.27   0.205    -.1133945     .024353
                    41  |   .5503434   .0381058    14.44   0.000     .4756573    .6250295
                    42  |   .2581335   .0367469     7.02   0.000     .1861109    .3301561
                    44  |   .2067085   .0378294     5.46   0.000     .1325641    .2808529
                    45  |   .1789665    .033325     5.37   0.000     .1136507    .2442823
                    46  |   .3265604   .0432024     7.56   0.000     .2418852    .4112356
                    47  |   .0599011    .038235     1.57   0.117    -.0150382    .1348403
                    48  |     .13444   .0381685     3.52   0.000     .0596311    .2092489
                    49  |   .4740586   .0313835    15.11   0.000     .4125479    .5355693
                    50  |    .557599   .0376031    14.83   0.000     .4838982    .6312998
                    51  |   .2253699    .033493     6.73   0.000     .1597248     .291015
                    53  |   .5914224   .0309181    19.13   0.000     .5308239    .6520208
                    54  |   .0668316   .0354984     1.88   0.060     -.002744    .1364073
                    55  |   .4608343   .0398124    11.58   0.000     .3828033    .5388653
                    56  |   .3856283   .0405963     9.50   0.000      .306061    .4651957
                    66  |    .253947   .0838034     3.03   0.002     .0896816    .4182123
                        |
               yearsold |   -.002865   .0003498    -8.19   0.000    -.0035507   -.0021793
                        |
                   year |
                  2017  |  -.0600621   .0128874    -4.66   0.000     -.085321   -.0348032
                  2019  |  -.0318494   .0126857    -2.51   0.012     -.056713   -.0069858
                        |
                   educ |
              1HighSch  |   .3516755   .0223092    15.76   0.000     .3079496    .3954013
          2SomeCollege  |   .6695999   .0220673    30.34   0.000     .6263481    .7128516
       3CollegeorAbove  |      1.058   .0215303    49.14   0.000     1.015801    1.100199
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .2937733   .1015367     2.89   0.004     .0946608    .4928858
        1nHwhite_Multi  |   .3051188   .1155166     2.64   0.008     .0786225    .5316151
           3NHPI_Multi  |   .1710826   .1687614     1.01   0.311    -.1596979    .5018631
                4Other  |   .0100737   .1012057     0.10   0.921    -.1883583    .2085057
------------------------+----------------------------------------------------------------
exe_strength_advice_f2  |
                  state |
                     2  |   .3206655   .0625164     5.13   0.000     .1981354    .4431956
                     4  |   .3992017    .043058     9.27   0.000     .3148095    .4835939
                     5  |   .0677981   .0551284     1.23   0.219    -.0402516    .1758478
                     6  |   .3322264   .0416819     7.97   0.000     .2505312    .4139216
                     8  |     .46848   .0395346    11.85   0.000     .3909935    .5459664
                     9  |   .3953771   .0401751     9.84   0.000     .3166353    .4741189
                    10  |   .2977735    .052119     5.71   0.000      .195622     .399925
                    11  |   .3939566   .0570897     6.90   0.000     .2820628    .5058505
                    12  |    .376519   .0439772     8.56   0.000     .2903252    .4627127
                    13  |   .2672362   .0473405     5.64   0.000     .1744503     .360022
                    15  |   .3290065    .050379     6.53   0.000     .2302648    .4277482
                    16  |   .2974782   .0502724     5.92   0.000     .1989461    .3960104
                    17  |   .3384635   .0445987     7.59   0.000     .2510516    .4258754
                    18  |   .1487691   .0424172     3.51   0.000     .0656329    .2319053
                    19  |   .2655173   .0416311     6.38   0.000     .1839217    .3471129
                    20  |   .1947219   .0370062     5.26   0.000     .1221909    .2672529
                    21  |   .0260774   .0482792     0.54   0.589    -.0685482    .1207029
                    22  |    .167789   .0483828     3.47   0.001     .0729603    .2626177
                    23  |    .215633   .0420359     5.13   0.000      .133244     .298022
                    24  |   .2899551   .0418156     6.93   0.000     .2079979    .3719124
                    25  |   .2581952   .0445257     5.80   0.000     .1709264     .345464
                    26  |   .2771182    .039801     6.96   0.000     .1991096    .3551269
                    27  |   .3614454   .0367297     9.84   0.000     .2894564    .4334344
                    28  |  -.0131376    .049224    -0.27   0.790     -.109615    .0833398
                    29  |   .1066162   .0453647     2.35   0.019     .0177029    .1955295
                    30  |   .4905227   .0453238    10.82   0.000     .4016897    .5793558
                    31  |   .2709923   .0392845     6.90   0.000      .193996    .3479886
                    32  |   .4025748   .0608852     6.61   0.000     .2832418    .5219079
                    33  |   .3946768   .0457161     8.63   0.000     .3050747    .4842789
                    34  |    .260982   .0476726     5.47   0.000     .1675453    .3544186
                    35  |   .4752944   .0466543    10.19   0.000     .3838536    .5667352
                    36  |   .2757555   .0395688     6.97   0.000     .1982019    .3533091
                    37  |   .1167863   .0469596     2.49   0.013     .0247471    .2088255
                    38  |   .1284968   .0483005     2.66   0.008     .0338296    .2231641
                    39  |   .2000494   .0410704     4.87   0.000     .1195529     .280546
                    40  |   .0233739   .0456914     0.51   0.609    -.0661797    .1129276
                    41  |   .3389827   .0451269     7.51   0.000     .2505355      .42743
                    42  |   .2497201   .0457727     5.46   0.000     .1600073     .339433
                    44  |   .2272438   .0463433     4.90   0.000     .1364124    .3180751
                    45  |   .2635631   .0421416     6.25   0.000     .1809671    .3461592
                    46  |   .2228228   .0538095     4.14   0.000      .117358    .3282875
                    47  |   .2277336   .0479354     4.75   0.000     .1337818    .3216854
                    48  |   .2800168   .0477083     5.87   0.000     .1865102    .3735234
                    49  |    .421864    .039038    10.81   0.000      .345351    .4983771
                    50  |   .4716763   .0443528    10.63   0.000     .3847463    .5586064
                    51  |   .2828341   .0416186     6.80   0.000      .201263    .3644051
                    53  |   .4056474   .0382684    10.60   0.000     .3306426    .4806522
                    54  |  -.1038802   .0463649    -2.24   0.025    -.1947539   -.0130064
                    55  |   .3061705   .0478722     6.40   0.000     .2123425    .3999985
                    56  |   .3647385   .0486937     7.49   0.000     .2693005    .4601766
                    66  |   .1073367   .0983908     1.09   0.275    -.0855654    .3002388
                        |
               yearsold |  -.0066365    .000409   -16.23   0.000    -.0074381   -.0058348
                        |
                   year |
                  2017  |   .0227602   .0152862     1.49   0.137    -.0072003    .0527207
                  2019  |   .2949376   .0147765    19.96   0.000     .2659761    .3238991
                        |
                   educ |
              1HighSch  |   .3058439   .0303052    10.09   0.000     .2464462    .3652417
          2SomeCollege  |   .6377393   .0295211    21.60   0.000     .5798783    .6956002
       3CollegeorAbove  |   .9864012   .0288224    34.22   0.000     .9299098    1.042893
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   -.085135   .1233677    -0.69   0.490    -.3274353    .1571654
        1nHwhite_Multi  |   .0489198   .1389104     0.35   0.725    -.2237984     .321638
           3NHPI_Multi  |    .210679    .208229     1.01   0.312    -.1974873    .6188454
                4Other  |   -.167218   .1239343    -1.35   0.178    -.4106628    .0762268
------------------------+----------------------------------------------------------------
exe_aerobic_advice_f3   |
                  state |
                     2  |   .5448319   .0572104     9.52   0.000     .4327014    .6569625
                     4  |    .437957   .0352577    12.42   0.000      .368853     .507061
                     5  |  -.0157865   .0427926    -0.37   0.712    -.0996585    .0680855
                     6  |   .6244965   .0338243    18.46   0.000      .558202     .690791
                     8  |   .6201313   .0329136    18.84   0.000     .5556218    .6846407
                     9  |   .2843755   .0329038     8.64   0.000      .219885    .3488659
                    10  |   .1353486   .0426659     3.17   0.002     .0517249    .2189722
                    11  |    .469689   .0485318     9.68   0.000     .3745677    .5648103
                    12  |   .3421869   .0358505     9.54   0.000     .2719211    .4124527
                    13  |   .1448297   .0377182     3.84   0.000     .0709033    .2187562
                    15  |   .4590762   .0419336    10.95   0.000     .3768861    .5412662
                    16  |   .4988104   .0421051    11.85   0.000     .4162858    .5813351
                    17  |   .3093737   .0360456     8.58   0.000     .2387255     .380022
                    18  |   .0268264   .0337584     0.79   0.427    -.0393391    .0929919
                    19  |   .2246439   .0330654     6.79   0.000     .1598368    .2894511
                    20  |   .1788067   .0291078     6.14   0.000     .1217563     .235857
                    21  |  -.2475447   .0397344    -6.23   0.000    -.3254237   -.1696657
                    22  |   .0553336    .038528     1.44   0.151    -.0201801    .1308474
                    23  |   .2911766   .0342765     8.49   0.000     .2239958    .3583575
                    24  |   .2486428   .0334731     7.43   0.000     .1830364    .3142493
                    25  |   .1858157   .0370911     5.01   0.000     .1131181    .2585133
                    26  |   .2450434   .0321452     7.62   0.000     .1820399    .3080469
                    27  |   .3979201   .0292949    13.58   0.000     .3405031    .4553371
                    28  |  -.1171933   .0378819    -3.09   0.002    -.1914405   -.0429461
                    29  |    .121542   .0357184     3.40   0.001     .0515352    .1915489
                    30  |   .5885653   .0384945    15.29   0.000     .5131173    .6640133
                    31  |   .2567386   .0308448     8.32   0.000     .1962839    .3171932
                    32  |   .3494011   .0504312     6.93   0.000     .2505576    .4482447
                    33  |   .3511817   .0384125     9.14   0.000     .2758941    .4264694
                    34  |   .0658081   .0385225     1.71   0.088    -.0096947    .1413109
                    35  |   .5448805   .0384846    14.16   0.000      .469452    .6203091
                    36  |    .131191   .0324894     4.04   0.000     .0675128    .1948692
                    37  |   .2804727   .0370446     7.57   0.000     .2078664    .3530791
                    38  |   .0851426   .0379417     2.24   0.025      .010778    .1595072
                    39  |   .1308341   .0329169     3.97   0.000     .0663182    .1953501
                    40  |  -.0565432    .035197    -1.61   0.108     -.125528    .0124417
                    41  |   .5632351   .0381901    14.75   0.000     .4883838    .6380864
                    42  |   .2119469   .0368547     5.75   0.000     .1397129    .2841809
                    44  |   .1840616   .0380803     4.83   0.000     .1094255    .2586976
                    45  |   .1782831    .033476     5.33   0.000     .1126712    .2438951
                    46  |   .3211635    .043643     7.36   0.000     .2356246    .4067024
                    47  |   .0516864    .038616     1.34   0.181    -.0239998    .1273726
                    48  |   .1015757   .0381158     2.66   0.008     .0268701    .1762813
                    49  |    .407673   .0315447    12.92   0.000     .3458464    .4694996
                    50  |   .5772337   .0379144    15.22   0.000     .5029228    .6515447
                    51  |    .194832   .0335788     5.80   0.000     .1290186    .2606453
                    53  |   .5605472   .0311743    17.98   0.000     .4994466    .6216478
                    54  |   .0579466   .0357583     1.62   0.105    -.0121385    .1280317
                    55  |   .4296352   .0402714    10.67   0.000     .3507046    .5085657
                    56  |   .3737403   .0411841     9.07   0.000     .2930208    .4544597
                    66  |   .2357194   .0851032     2.77   0.006     .0689102    .4025285
                        |
               yearsold |   -.003192   .0003471    -9.19   0.000    -.0038724   -.0025116
                        |
                   year |
                  2017  |  -.0535976   .0129229    -4.15   0.000    -.0789262   -.0282689
                  2019  |  -.0359747   .0126861    -2.84   0.005    -.0608392   -.0111102
                        |
               hhincome |
         1_10000-14999  |   .0200559   .0365786     0.55   0.584    -.0517516    .0918635
         2_15000-19999  |   .1483381   .0344943     4.30   0.000      .080435    .2162412
         3_20000-24999  |   .2392108   .0324658     7.37   0.000     .1754544    .3029671
         4_25000-34999  |   .3987156   .0330854    12.05   0.000     .3335535    .4638777
         5_35000-49999  |   .5661835   .0306513    18.47   0.000     .5059708    .6263961
         6_50000-74999  |   .7238059   .0300217    24.11   0.000     .6648606    .7827512
              7_75000+  |   1.007795   .0291833    34.53   0.000     .9503729    1.065217
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .2751901   .1072509     2.57   0.010     .0649291    .4854511
        1nHwhite_Multi  |   .3412272   .1203995     2.83   0.005     .1051834    .5772709
           3NHPI_Multi  |   .1509396    .168045     0.90   0.369    -.1784278    .4803071
                4Other  |   .0398647   .1068779     0.37   0.709    -.1696454    .2493748
------------------------+----------------------------------------------------------------
exe_strength_advice_f3  |
                  state |
                     2  |   .3014247   .0626011     4.82   0.000     .1787285    .4241209
                     4  |   .3960478   .0428437     9.24   0.000     .3120756      .48002
                     5  |   .0747207   .0548367     1.36   0.173    -.0327573    .1821988
                     6  |   .3087469    .041475     7.44   0.000     .2274574    .3900364
                     8  |   .4873175   .0395342    12.33   0.000     .4098318    .5648033
                     9  |   .3848406   .0400975     9.60   0.000     .3062508    .4634304
                    10  |   .2891447   .0520008     5.56   0.000     .1872249    .3910645
                    11  |   .4590956    .056767     8.09   0.000      .347834    .5703571
                    12  |     .39442   .0437177     9.02   0.000     .3087348    .4801052
                    13  |   .2742759   .0472051     5.81   0.000     .1817553    .3667964
                    15  |   .3412703   .0505499     6.75   0.000     .2421933    .4403473
                    16  |   .2946346   .0503035     5.86   0.000     .1960414    .3932277
                    17  |   .3355344   .0445036     7.54   0.000     .2483088    .4227599
                    18  |   .1390215   .0423203     3.28   0.001     .0560751    .2219679
                    19  |    .258248   .0414964     6.22   0.000     .1769164    .3395795
                    20  |   .2176915   .0369044     5.90   0.000     .1453601     .290023
                    21  |  -.0048333   .0482359    -0.10   0.920    -.0993741    .0897076
                    22  |   .1530402   .0482501     3.17   0.002     .0584716    .2476088
                    23  |   .2444151   .0420865     5.81   0.000      .161927    .3269032
                    24  |    .267763   .0417605     6.41   0.000     .1859137    .3496123
                    25  |   .2682437   .0443173     6.05   0.000     .1813833    .3551041
                    26  |   .2790648   .0397184     7.03   0.000     .2012181    .3569115
                    27  |   .3672492   .0366955    10.01   0.000     .2953272    .4391712
                    28  |    .015066    .049067     0.31   0.759    -.0811038    .1112357
                    29  |   .1041516   .0453171     2.30   0.022     .0153315    .1929716
                    30  |   .5312999    .045133    11.77   0.000     .4428408    .6197591
                    31  |   .2884422    .039211     7.36   0.000       .21159    .3652945
                    32  |    .364981   .0605772     6.03   0.000     .2462516    .4837104
                    33  |   .3784898   .0455924     8.30   0.000     .2891302    .4678494
                    34  |   .2365355   .0475073     4.98   0.000     .1434227    .3296483
                    35  |   .5049888   .0464764    10.87   0.000     .4138966     .596081
                    36  |   .2769743   .0395058     7.01   0.000     .1995442    .3544044
                    37  |   .1308659   .0468332     2.79   0.005     .0390745    .2226574
                    38  |   .1242288   .0483379     2.57   0.010      .029488    .2189695
                    39  |   .1956374   .0411007     4.76   0.000     .1150813    .2761934
                    40  |   .0200915   .0454302     0.44   0.658    -.0689502    .1091331
                    41  |   .3636872   .0447397     8.13   0.000      .275999    .4513754
                    42  |   .2221352   .0456696     4.86   0.000     .1326244     .311646
                    44  |   .2266543   .0462259     4.90   0.000     .1360531    .3172555
                    45  |   .2685596   .0419883     6.40   0.000     .1862639    .3508554
                    46  |   .2318286   .0534934     4.33   0.000     .1269834    .3366739
                    47  |   .2199852   .0478319     4.60   0.000     .1262362    .3137341
                    48  |   .2639937   .0475124     5.56   0.000     .1708709    .3571164
                    49  |   .3850148   .0389526     9.88   0.000      .308669    .4613606
                    50  |   .5007141   .0441419    11.34   0.000     .4141975    .5872306
                    51  |   .2825052   .0415892     6.79   0.000     .2009917    .3640187
                    53  |   .4025641   .0382513    10.52   0.000     .3275929    .4775353
                    54  |  -.1222893   .0463411    -2.64   0.008    -.2131163   -.0314623
                    55  |   .2914417   .0478668     6.09   0.000     .1976242    .3852591
                    56  |   .3647362   .0488637     7.46   0.000     .2689649    .4605074
                    66  |   .1087275   .0988852     1.10   0.272    -.0851301    .3025851
                        |
               yearsold |  -.0074434   .0004121   -18.06   0.000    -.0082511   -.0066357
                        |
                   year |
                  2017  |    .029648    .015255     1.94   0.052    -.0002513    .0595472
                  2019  |   .2945422   .0147108    20.02   0.000     .2657096    .3233749
                        |
               hhincome |
         1_10000-14999  |   .0692509    .049767     1.39   0.166    -.0289038    .1674057
         2_15000-19999  |   .0671397    .043291     1.55   0.122    -.0182185    .1524978
         3_20000-24999  |   .1547245   .0425464     3.64   0.000     .0709046    .2385443
         4_25000-34999  |   .2324321   .0414777     5.60   0.000     .1506941    .3141701
         5_35000-49999  |    .336059   .0382404     8.79   0.000     .2608418    .4112763
         6_50000-74999  |   .4748919   .0386601    12.28   0.000     .3986839    .5510999
              7_75000+  |   .7190685   .0360069    19.97   0.000     .6482174    .7899196
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.0444361   .1215719    -0.37   0.715    -.2830201    .1941479
        1nHwhite_Multi  |   .1153752   .1369681     0.84   0.400    -.1533395    .3840899
           3NHPI_Multi  |   .1953897   .2073675     0.94   0.346    -.2110794    .6018589
                4Other  |  -.1177294    .122223    -0.96   0.336    -.3576318     .122173
------------------------+----------------------------------------------------------------
exe_aerobic_advice_f4   |
                  state |
                     2  |   .5253545   .0573578     9.16   0.000     .4129351    .6377738
                     4  |     .43224   .0354133    12.21   0.000     .3628311    .5016489
                     5  |  -.0144315   .0428952    -0.34   0.737    -.0985048    .0696417
                     6  |   .6208609   .0341252    18.19   0.000     .5539768    .6877451
                     8  |   .5845839   .0329904    17.72   0.000     .5199238    .6492441
                     9  |   .2636468   .0329751     8.00   0.000     .1990168    .3282768
                    10  |   .1221581   .0430169     2.84   0.005     .0378464    .2064699
                    11  |   .3791241   .0485558     7.81   0.000     .2839562    .4742919
                    12  |   .3228491   .0358908     9.00   0.000     .2525044    .3931938
                    13  |   .1273323   .0379502     3.36   0.001     .0529511    .2017134
                    15  |    .408595   .0420302     9.72   0.000     .3262158    .4909742
                    16  |   .4978798   .0422035    11.80   0.000     .4151624    .5805972
                    17  |   .2929487   .0361477     8.10   0.000     .2221003     .363797
                    18  |   .0306888   .0337191     0.91   0.363    -.0353996    .0967771
                    19  |   .2180816   .0331093     6.59   0.000     .1531884    .2829748
                    20  |   .1509621   .0291324     5.18   0.000     .0938636    .2080606
                    21  |  -.2234615    .039581    -5.65   0.000     -.301039    -.145884
                    22  |   .0602145   .0386104     1.56   0.119    -.0154606    .1358897
                    23  |   .2677234    .034291     7.81   0.000     .2005142    .3349325
                    24  |   .2246676   .0334254     6.72   0.000     .1591547    .2901806
                    25  |   .1512201   .0371652     4.07   0.000     .0783774    .2240628
                    26  |   .2304306   .0322236     7.15   0.000     .1672735    .2935877
                    27  |   .3727033   .0293102    12.72   0.000     .3152562    .4301504
                    28  |   -.133151   .0379289    -3.51   0.000    -.2074903   -.0588117
                    29  |    .116406   .0358838     3.24   0.001     .0460749    .1867372
                    30  |   .5592084   .0385549    14.50   0.000     .4836422    .6347747
                    31  |   .2346212   .0308883     7.60   0.000     .1740812    .2951611
                    32  |   .3677872   .0503627     7.30   0.000      .269078    .4664965
                    33  |   .3419069   .0384946     8.88   0.000     .2664586    .4173552
                    34  |   .0529456   .0386936     1.37   0.171    -.0228926    .1287839
                    35  |   .5200198   .0387183    13.43   0.000     .4441333    .5959063
                    36  |    .111771    .032588     3.43   0.001     .0478996    .1756423
                    37  |   .2619782    .037138     7.05   0.000      .189189    .3347675
                    38  |   .0662708   .0378919     1.75   0.080     -.007996    .1405377
                    39  |   .1266023   .0328803     3.85   0.000      .062158    .1910466
                    40  |  -.0594819   .0353091    -1.68   0.092    -.1286865    .0097227
                    41  |   .5353823   .0382072    14.01   0.000     .4604974    .6102671
                    42  |   .2166118   .0369565     5.86   0.000     .1441783    .2890454
                    44  |   .1740847   .0381805     4.56   0.000     .0992523    .2489171
                    45  |   .1661453   .0334954     4.96   0.000     .1004954    .2317951
                    46  |   .3051918   .0436978     6.98   0.000     .2195456    .3908381
                    47  |   .0566663   .0385936     1.47   0.142    -.0189758    .1323084
                    48  |   .1004986   .0383572     2.62   0.009     .0253198    .1756773
                    49  |   .4131786   .0315652    13.09   0.000      .351312    .4750453
                    50  |   .5440821   .0378148    14.39   0.000     .4699663    .6181979
                    51  |   .1669969   .0337067     4.95   0.000     .1009328    .2330609
                    53  |   .5403692   .0311644    17.34   0.000      .479288    .6014505
                    54  |    .084214   .0357652     2.35   0.019     .0141153    .1543126
                    55  |   .4252411   .0402396    10.57   0.000     .3463729    .5041093
                    56  |   .3555727    .041012     8.67   0.000     .2751906    .4359547
                    66  |   .2276374   .0850147     2.68   0.007      .060999    .3942759
                        |
               yearsold |  -.0018367   .0003541    -5.19   0.000    -.0025307   -.0011428
                        |
                   year |
                  2017  |   -.062044   .0129932    -4.78   0.000    -.0875103   -.0365778
                  2019  |  -.0448149   .0127594    -3.51   0.000     -.069823   -.0198068
                        |
                   educ |
              1HighSch  |   .2285845   .0229516     9.96   0.000     .1835984    .2735706
          2SomeCollege  |   .4610179   .0231289    19.93   0.000     .4156849    .5063509
       3CollegeorAbove  |   .7063391   .0237803    29.70   0.000     .6597278    .7529505
                        |
               hhincome |
         1_10000-14999  |   -.004049   .0373508    -0.11   0.914    -.0774006    .0693027
         2_15000-19999  |   .1089412   .0352885     3.09   0.002     .0394061    .1784764
         3_20000-24999  |   .1584195   .0331776     4.77   0.000      .093251    .2235879
         4_25000-34999  |   .2701866    .033869     7.98   0.000     .2034757    .3368975
         5_35000-49999  |   .3771936   .0320656    11.76   0.000     .3141474    .4402398
         6_50000-74999  |   .4783783   .0318112    15.04   0.000      .415874    .5408827
              7_75000+  |   .6800981   .0315823    21.53   0.000     .6178796    .7423165
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |   .2137426   .1048291     2.04   0.042     .0082023    .4192829
        1nHwhite_Multi  |   .2758607   .1185061     2.33   0.020     .0435054     .508216
           3NHPI_Multi  |   .1576402   .1685701     0.94   0.350    -.1727589    .4880394
                4Other  |   .0177868   .1043872     0.17   0.865    -.1868582    .2224319
------------------------+----------------------------------------------------------------
exe_strength_advice_f4  |
                  state |
                     2  |   .2814658   .0625043     4.50   0.000     .1589596    .4039721
                     4  |   .3866236   .0430815     8.97   0.000     .3021854    .4710619
                     5  |   .0781383   .0551549     1.42   0.157    -.0299634    .1862401
                     6  |   .2949815   .0416669     7.08   0.000     .2133158    .3766471
                     8  |   .4450606   .0395979    11.24   0.000     .3674501     .522671
                     9  |   .3596024   .0402929     8.92   0.000     .2806297     .438575
                    10  |   .2736856     .05224     5.24   0.000     .1712969    .3760743
                    11  |   .3611745   .0571707     6.32   0.000     .2491219    .4732272
                    12  |   .3722924   .0439704     8.47   0.000     .2861119    .4584729
                    13  |   .2540973   .0473995     5.36   0.000     .1611958    .3469987
                    15  |   .2866874   .0504177     5.69   0.000     .1878698     .385505
                    16  |     .29437     .05031     5.85   0.000      .195764    .3929759
                    17  |   .3149837   .0446866     7.05   0.000     .2273994    .4025681
                    18  |   .1438087   .0424666     3.39   0.001     .0605757    .2270417
                    19  |   .2516085   .0416488     6.04   0.000     .1699782    .3332388
                    20  |   .1865109   .0370206     5.04   0.000     .1139518      .25907
                    21  |    .020805   .0483273     0.43   0.667    -.0739149    .1155249
                    22  |   .1610151   .0484255     3.33   0.001     .0661026    .2559275
                    23  |    .217646   .0420998     5.17   0.000     .1351319    .3001601
                    24  |   .2404651   .0419849     5.73   0.000     .1581761     .322754
                    25  |   .2271629   .0444872     5.11   0.000     .1399695    .3143563
                    26  |   .2652976   .0398556     6.66   0.000     .1871819    .3434134
                    27  |   .3373939   .0367997     9.17   0.000     .2652677    .4095201
                    28  |  -.0016665   .0492571    -0.03   0.973    -.0982088    .0948759
                    29  |   .0988529   .0453839     2.18   0.029      .009902    .1878038
                    30  |   .4989152   .0453113    11.01   0.000     .4101066    .5877238
                    31  |   .2632474   .0393132     6.70   0.000     .1861948       .3403
                    32  |   .3820671   .0609593     6.27   0.000      .262589    .5015452
                    33  |   .3669102    .045798     8.01   0.000     .2771477    .4566728
                    34  |   .2209114   .0476994     4.63   0.000     .1274222    .3144006
                    35  |   .4750021   .0466318    10.19   0.000     .3836053    .5663989
                    36  |   .2521293   .0396282     6.36   0.000     .1744593    .3297992
                    37  |   .1074994   .0470158     2.29   0.022       .01535    .1996487
                    38  |   .1065093    .048375     2.20   0.028     .0116959    .2013227
                    39  |   .1921037   .0411206     4.67   0.000     .1115088    .2726987
                    40  |   .0188571   .0457042     0.41   0.680    -.0707216    .1084359
                    41  |   .3316634   .0451016     7.35   0.000     .2432657    .4200611
                    42  |   .2287228   .0458212     4.99   0.000     .1389148    .3185308
                    44  |   .2099936    .046392     4.53   0.000     .1190667    .3009204
                    45  |   .2568428   .0421486     6.09   0.000     .1742331    .3394526
                    46  |   .2163231   .0537992     4.02   0.000     .1108786    .3217677
                    47  |   .2275233   .0480182     4.74   0.000     .1334092    .3216374
                    48  |   .2599489   .0477265     5.45   0.000     .1664065    .3534913
                    49  |   .3913079   .0390692    10.02   0.000     .3147337    .4678821
                    50  |   .4646026   .0443589    10.47   0.000     .3776607    .5515446
                    51  |   .2507853   .0417133     6.01   0.000     .1690288    .3325419
                    53  |   .3789931   .0383322     9.89   0.000     .3038633    .4541228
                    54  |  -.0937737   .0464298    -2.02   0.043    -.1847746   -.0027729
                    55  |   .2888068   .0480458     6.01   0.000     .1946386     .382975
                    56  |   .3506039   .0487968     7.18   0.000     .2549638     .446244
                    66  |   .0971189   .0984712     0.99   0.324    -.0959368    .2901747
                        |
               yearsold |   -.006036   .0004167   -14.49   0.000    -.0068527   -.0052193
                        |
                   year |
                  2017  |   .0212368   .0152975     1.39   0.165    -.0087457    .0512193
                  2019  |    .287952   .0147983    19.46   0.000     .2589479    .3169562
                        |
                   educ |
              1HighSch  |   .2517467   .0309262     8.14   0.000     .1911306    .3123628
          2SomeCollege  |   .5401107   .0306918    17.60   0.000     .4799544     .600267
       3CollegeorAbove  |   .8070743   .0310784    25.97   0.000     .7461607    .8679878
                        |
               hhincome |
         1_10000-14999  |   .0390368     .05009     0.78   0.437    -.0597012    .1377747
         2_15000-19999  |    .019227   .0434462     0.44   0.659    -.0664331    .1048872
         3_20000-24999  |   .0579775   .0432137     1.34   0.181    -.0271361    .1430911
         4_25000-34999  |   .0810071   .0423736     1.91   0.057    -.0025227    .1645369
         5_35000-49999  |   .1156064   .0396481     2.92   0.004     .0375658     .193647
         6_50000-74999  |   .1909502   .0404129     4.72   0.000      .111272    .2706283
              7_75000+  |   .3427884   .0382489     8.96   0.000     .2674947    .4180821
                        |
praceethnicgp_multi_sim |
       0nHWhite_Single  |  -.1204671   .1230835    -0.98   0.328    -.3621628    .1212285
        1nHwhite_Multi  |   .0374055   .1386691     0.27   0.787    -.2347895    .3096004
           3NHPI_Multi  |   .2076594   .2070388     1.00   0.316     -.198175    .6134937
                4Other  |  -.1569178   .1236783    -1.27   0.205    -.3998208    .0859852
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m1  |
                   cut1 |  -.6304165   .1057666                     -.8377539   -.4230791
                   cut2 |   .2203914   .1057931                      .0130021    .4277806
------------------------+----------------------------------------------------------------
/exe_strength_advice_m1 |
                   cut1 |  -.0312411     .11049                     -.2478364    .1853543
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m2  |
                   cut1 |   -.123361   .1086697                     -.3363791    .0896572
                   cut2 |   .7540672   .1087244                      .5409418    .9671926
------------------------+----------------------------------------------------------------
/exe_strength_advice_m2 |
                   cut1 |   .4053601   .1120227                      .1857647    .6249555
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m3  |
                   cut1 |  -.1580096   .1109898                     -.3755637    .0595445
                   cut2 |   .7149667   .1110679                       .497259    .9326744
------------------------+----------------------------------------------------------------
/exe_strength_advice_m3 |
                   cut1 |   .3414705   .1182513                      .1096323    .5733088
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m4  |
                   cut1 |   .0551849   .1118357                     -.1640223    .2743922
                   cut2 |   .9400533   .1119088                      .7207025    1.159404
------------------------+----------------------------------------------------------------
/exe_strength_advice_m4 |
                   cut1 |   .5498062   .1180289                       .318412    .7812005
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f1  |
                   cut1 |  -.4837419   .1060906                     -.6917232   -.2757606
                   cut2 |   .3691731   .1061219                      .1611299    .5772164
------------------------+----------------------------------------------------------------
/exe_strength_advice_f1 |
                   cut1 |   .9811137   .1262561                      .7333792    1.228848
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f2  |
                   cut1 |   .1017127   .1069507                      -.107972    .3113974
                   cut2 |   .9786548   .1070452                      .7687843    1.188525
------------------------+----------------------------------------------------------------
/exe_strength_advice_f2 |
                   cut1 |   1.545625   .1311966                       1.28804    1.803211
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f3  |
                   cut1 |   .0173724   .1132932                     -.2047304    .2394753
                   cut2 |   .8944637   .1133661                      .6722161    1.116711
------------------------+----------------------------------------------------------------
/exe_strength_advice_f3 |
                   cut1 |   1.346808   .1307759                      1.090163    1.603453
------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f4  |
                   cut1 |   .2454787   .1117454                      .0264055    .4645518
                   cut2 |   1.131005   .1118474                      .9117302    1.350279
------------------------+----------------------------------------------------------------
/exe_strength_advice_f4 |
                   cut1 |   1.609207   .1328215                      1.348515      1.8699
-----------------------------------------------------------------------------------------
Note: Strata with single sampling unit centered at overall mean.
r; t=14861.24 4:27:52

. 
. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among men without mediators
. lincom _b[exe_aerobic_advice_m1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.084699   .1089361     0.81   0.418      .890888    1.320673
------------------------------------------------------------------------------
r; t=0.06 4:27:52

. matrix aerobic_m1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:52

. local aerobic_m1_race0_se="(" + string(aerobic_m1_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:52

. local aerobic_m1_race0_p=aerobic_m1_race0[3,1]
r; t=0.00 4:27:52

. if `aerobic_m1_race0_p'<0.001 {
.         local aerobic_m1_race0_est=string(aerobic_m1_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m1_race0_p'<0.01 {
.         local aerobic_m1_race0_est=string(aerobic_m1_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m1_race0_p'<0.05 {
.         local aerobic_m1_race0_est=string(aerobic_m1_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else {
.         local aerobic_m1_race0_est=string(aerobic_m1_race0[1,1], "%3.2f")
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. 
. 
. lincom _b[exe_aerobic_advice_m1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9653124   .1093787    -0.31   0.755     .7730701     1.20536
------------------------------------------------------------------------------
r; t=0.07 4:27:52

. matrix aerobic_m1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:52

. local aerobic_m1_race1_se="(" + string(aerobic_m1_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:52

. local aerobic_m1_race1_p=aerobic_m1_race1[3,1]
r; t=0.00 4:27:52

. if `aerobic_m1_race1_p'<0.001 {
.         local aerobic_m1_race1_est=string(aerobic_m1_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m1_race1_p'<0.01 {
.         local aerobic_m1_race1_est=string(aerobic_m1_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m1_race1_p'<0.05 {
.         local aerobic_m1_race1_est=string(aerobic_m1_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else {
.         local aerobic_m1_race1_est=string(aerobic_m1_race1[1,1], "%3.2f")
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. 
. 
. lincom _b[exe_aerobic_advice_m1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.042832    .170402     0.26   0.797     .7570515    1.436493
------------------------------------------------------------------------------
r; t=0.05 4:27:52

. matrix aerobic_m1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:52

. local aerobic_m1_race3_se="(" + string(aerobic_m1_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:52

. local aerobic_m1_race3_p=aerobic_m1_race3[3,1]
r; t=0.00 4:27:52

. if `aerobic_m1_race3_p'<0.001 {
.         local aerobic_m1_race3_est=string(aerobic_m1_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m1_race3_p'<0.01 {
.         local aerobic_m1_race3_est=string(aerobic_m1_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m1_race3_p'<0.05 {
.         local aerobic_m1_race3_est=string(aerobic_m1_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else {
.         local aerobic_m1_race3_est=string(aerobic_m1_race3[1,1], "%3.2f")
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. 
. 
. lincom _b[exe_aerobic_advice_m1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7687581   .0773738    -2.61   0.009     .6311289    .9363999
------------------------------------------------------------------------------
r; t=0.04 4:27:52

. matrix aerobic_m1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:52

. local aerobic_m1_race4_se="(" + string(aerobic_m1_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:52

. local aerobic_m1_race4_p=aerobic_m1_race4[3,1]
r; t=0.00 4:27:52

. if `aerobic_m1_race4_p'<0.001 {
.         local aerobic_m1_race4_est=string(aerobic_m1_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m1_race4_p'<0.01 {
.         local aerobic_m1_race4_est=string(aerobic_m1_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m1_race4_p'<0.05 {
.         local aerobic_m1_race4_est=string(aerobic_m1_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else {
.         local aerobic_m1_race4_est=string(aerobic_m1_race4[1,1], "%3.2f")
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. 
. 
. 
. *Meeting aerobic exercise recommendation among men with education mediator
. lincom _b[exe_aerobic_advice_m2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8695652   .0883889    -1.37   0.169     .7124916    1.061267
------------------------------------------------------------------------------
r; t=0.06 4:27:52

. matrix aerobic_m2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:52

. local aerobic_m2_race0_se="(" + string(aerobic_m2_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:52

. local aerobic_m2_race0_p=aerobic_m2_race0[3,1]
r; t=0.00 4:27:52

. if `aerobic_m2_race0_p'<0.001 {
.         local aerobic_m2_race0_est=string(aerobic_m2_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m2_race0_p'<0.01 {
.         local aerobic_m2_race0_est=string(aerobic_m2_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m2_race0_p'<0.05 {
.         local aerobic_m2_race0_est=string(aerobic_m2_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else {
.         local aerobic_m2_race0_est=string(aerobic_m2_race0[1,1], "%3.2f")
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. 
. 
. lincom _b[exe_aerobic_advice_m2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8269696   .0949566    -1.65   0.098     .6603139    1.035687
------------------------------------------------------------------------------
r; t=0.05 4:27:52

. matrix aerobic_m2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:52

. local aerobic_m2_race1_se="(" + string(aerobic_m2_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:52

. local aerobic_m2_race1_p=aerobic_m2_race1[3,1]
r; t=0.00 4:27:52

. if `aerobic_m2_race1_p'<0.001 {
.         local aerobic_m2_race1_est=string(aerobic_m2_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m2_race1_p'<0.01 {
.         local aerobic_m2_race1_est=string(aerobic_m2_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else if `aerobic_m2_race1_p'<0.05 {
.         local aerobic_m2_race1_est=string(aerobic_m2_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. else {
.         local aerobic_m2_race1_est=string(aerobic_m2_race1[1,1], "%3.2f")
r; t=0.00 4:27:52
. }
r; t=0.00 4:27:52

. 
. 
. lincom _b[exe_aerobic_advice_m2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9781454    .153995    -0.14   0.888     .7184453    1.331721
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. matrix aerobic_m2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:53

. local aerobic_m2_race3_se="(" + string(aerobic_m2_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:53

. local aerobic_m2_race3_p=aerobic_m2_race3[3,1]
r; t=0.00 4:27:53

. if `aerobic_m2_race3_p'<0.001 {
.         local aerobic_m2_race3_est=string(aerobic_m2_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m2_race3_p'<0.01 {
.         local aerobic_m2_race3_est=string(aerobic_m2_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m2_race3_p'<0.05 {
.         local aerobic_m2_race3_est=string(aerobic_m2_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else {
.         local aerobic_m2_race3_est=string(aerobic_m2_race3[1,1], "%3.2f")
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. 
. 
. lincom _b[exe_aerobic_advice_m2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7266612    .074026    -3.13   0.002     .5951395    .8872484
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. matrix aerobic_m2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:53

. local aerobic_m2_race4_se="(" + string(aerobic_m2_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:53

. local aerobic_m2_race4_p=aerobic_m2_race4[3,1]
r; t=0.00 4:27:53

. if `aerobic_m2_race4_p'<0.001 {
.         local aerobic_m2_race4_est=string(aerobic_m2_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m2_race4_p'<0.01 {
.         local aerobic_m2_race4_est=string(aerobic_m2_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m2_race4_p'<0.05 {
.         local aerobic_m2_race4_est=string(aerobic_m2_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else {
.         local aerobic_m2_race4_est=string(aerobic_m2_race4[1,1], "%3.2f")
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.247404   .0295095     9.34   0.000     1.190886    1.306603
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. local aerobic_m12_race0=`r(p)'
r; t=0.00 4:27:53

. 
. lincom _b[exe_aerobic_advice_m1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.167289   .0301903     5.98   0.000     1.109592    1.227986
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. local aerobic_m12_race1=`r(p)'
r; t=0.00 4:27:53

. 
. lincom _b[exe_aerobic_advice_m1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.066132   .0372544     1.83   0.067     .9955593    1.141708
------------------------------------------------------------------------------
r; t=0.06 4:27:53

. local aerobic_m12_race3=`r(p)'
r; t=0.00 4:27:53

. 
. lincom _b[exe_aerobic_advice_m1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.057932   .0248179     2.40   0.016     1.010391     1.10771
------------------------------------------------------------------------------
r; t=0.06 4:27:53

. local aerobic_m12_race4=`r(p)'
r; t=0.00 4:27:53

. 
. 
. *Meeting aerobic exercise recommendation among men with household income mediator
. lincom _b[exe_aerobic_advice_m3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |     .87491   .0893231    -1.31   0.191     .7162434    1.068725
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. matrix aerobic_m3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:53

. local aerobic_m3_race0_se="(" + string(aerobic_m3_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:53

. local aerobic_m3_race0_p=aerobic_m3_race0[3,1]
r; t=0.00 4:27:53

. if `aerobic_m3_race0_p'<0.001 {
.         local aerobic_m3_race0_est=string(aerobic_m3_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m3_race0_p'<0.01 {
.         local aerobic_m3_race0_est=string(aerobic_m3_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m3_race0_p'<0.05 {
.         local aerobic_m3_race0_est=string(aerobic_m3_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else {
.         local aerobic_m3_race0_est=string(aerobic_m3_race0[1,1], "%3.2f")
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. 
. 
. lincom _b[exe_aerobic_advice_m3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8572477   .0987456    -1.34   0.181     .6840015    1.074374
------------------------------------------------------------------------------
r; t=0.04 4:27:53

. matrix aerobic_m3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:53

. local aerobic_m3_race1_se="(" + string(aerobic_m3_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:53

. local aerobic_m3_race1_p=aerobic_m3_race1[3,1]
r; t=0.00 4:27:53

. if `aerobic_m3_race1_p'<0.001 {
.         local aerobic_m3_race1_est=string(aerobic_m3_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m3_race1_p'<0.01 {
.         local aerobic_m3_race1_est=string(aerobic_m3_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m3_race1_p'<0.05 {
.         local aerobic_m3_race1_est=string(aerobic_m3_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else {
.         local aerobic_m3_race1_est=string(aerobic_m3_race1[1,1], "%3.2f")
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. 
. 
. lincom _b[exe_aerobic_advice_m3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9771857   .1573311    -0.14   0.886     .7127379    1.339752
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. matrix aerobic_m3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:53

. local aerobic_m3_race3_se="(" + string(aerobic_m3_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:53

. local aerobic_m3_race3_p=aerobic_m3_race3[3,1]
r; t=0.00 4:27:53

. if `aerobic_m3_race3_p'<0.001 {
.         local aerobic_m3_race3_est=string(aerobic_m3_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m3_race3_p'<0.01 {
.         local aerobic_m3_race3_est=string(aerobic_m3_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m3_race3_p'<0.05 {
.         local aerobic_m3_race3_est=string(aerobic_m3_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else {
.         local aerobic_m3_race3_est=string(aerobic_m3_race3[1,1], "%3.2f")
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. 
. 
. lincom _b[exe_aerobic_advice_m3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7513804    .077084    -2.79   0.005     .6145187     .918723
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. matrix aerobic_m3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:53

. local aerobic_m3_race4_se="(" + string(aerobic_m3_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:53

. local aerobic_m3_race4_p=aerobic_m3_race4[3,1]
r; t=0.00 4:27:53

. if `aerobic_m3_race4_p'<0.001 {
.         local aerobic_m3_race4_est=string(aerobic_m3_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m3_race4_p'<0.01 {
.         local aerobic_m3_race4_est=string(aerobic_m3_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m3_race4_p'<0.05 {
.         local aerobic_m3_race4_est=string(aerobic_m3_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else {
.         local aerobic_m3_race4_est=string(aerobic_m3_race4[1,1], "%3.2f")
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. 
. 
. *Test if household income explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.239783   .0264705    10.07   0.000     1.188973    1.292766
------------------------------------------------------------------------------
r; t=0.06 4:27:53

. local aerobic_m13_race0=`r(p)'
r; t=0.00 4:27:53

. 
. lincom _b[exe_aerobic_advice_m1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.12606    .027283     4.90   0.000     1.073836    1.180824
------------------------------------------------------------------------------
r; t=0.06 4:27:53

. local aerobic_m13_race1=`r(p)'
r; t=0.00 4:27:53

. 
. lincom _b[exe_aerobic_advice_m1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.067179   .0425999     1.63   0.103     .9868677    1.154027
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. local aerobic_m13_race3=`r(p)'
r; t=0.00 4:27:53

. 
. lincom _b[exe_aerobic_advice_m1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.023128   .0217852     1.07   0.283     .9813081     1.06673
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. local aerobic_m13_race4=`r(p)'
r; t=0.00 4:27:53

. 
. 
. *Meeting aerobic exercise recommendation among men with two mediators
. lincom _b[exe_aerobic_advice_m4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8021206   .0817461    -2.16   0.030     .6568883    .9794625
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. matrix aerobic_m4_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:53

. local aerobic_m4_race0_se="(" + string(aerobic_m4_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:53

. local aerobic_m4_race0_p=aerobic_m4_race0[3,1]
r; t=0.00 4:27:53

. if `aerobic_m4_race0_p'<0.001 {
.         local aerobic_m4_race0_est=string(aerobic_m4_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m4_race0_p'<0.01 {
.         local aerobic_m4_race0_est=string(aerobic_m4_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m4_race0_p'<0.05 {
.         local aerobic_m4_race0_est=string(aerobic_m4_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else {
.         local aerobic_m4_race0_est=string(aerobic_m4_race0[1,1], "%3.2f")
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. 
. 
. lincom _b[exe_aerobic_advice_m4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7968277   .0916985    -1.97   0.048     .6359287    .9984363
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. matrix aerobic_m4_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:53

. local aerobic_m4_race1_se="(" + string(aerobic_m4_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:53

. local aerobic_m4_race1_p=aerobic_m4_race1[3,1]
r; t=0.00 4:27:53

. if `aerobic_m4_race1_p'<0.001 {
.         local aerobic_m4_race1_est=string(aerobic_m4_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m4_race1_p'<0.01 {
.         local aerobic_m4_race1_est=string(aerobic_m4_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m4_race1_p'<0.05 {
.         local aerobic_m4_race1_est=string(aerobic_m4_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else {
.         local aerobic_m4_race1_est=string(aerobic_m4_race1[1,1], "%3.2f")
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. 
. 
. lincom _b[exe_aerobic_advice_m4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9565584   .1511853    -0.28   0.779     .7017425    1.303903
------------------------------------------------------------------------------
r; t=0.04 4:27:53

. matrix aerobic_m4_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:53

. local aerobic_m4_race3_se="(" + string(aerobic_m4_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:53

. local aerobic_m4_race3_p=aerobic_m4_race3[3,1]
r; t=0.00 4:27:53

. if `aerobic_m4_race3_p'<0.001 {
.         local aerobic_m4_race3_est=string(aerobic_m4_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m4_race3_p'<0.01 {
.         local aerobic_m4_race3_est=string(aerobic_m4_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m4_race3_p'<0.05 {
.         local aerobic_m4_race3_est=string(aerobic_m4_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else {
.         local aerobic_m4_race3_est=string(aerobic_m4_race3[1,1], "%3.2f")
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. 
. 
. lincom _b[exe_aerobic_advice_m4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7275028    .074433    -3.11   0.002     .5953133     .889045
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. matrix aerobic_m4_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:53

. local aerobic_m4_race4_se="(" + string(aerobic_m4_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:53

. local aerobic_m4_race4_p=aerobic_m4_race4[3,1]
r; t=0.00 4:27:53

. if `aerobic_m4_race4_p'<0.001 {
.         local aerobic_m4_race4_est=string(aerobic_m4_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m4_race4_p'<0.01 {
.         local aerobic_m4_race4_est=string(aerobic_m4_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else if `aerobic_m4_race4_p'<0.05 {
.         local aerobic_m4_race4_est=string(aerobic_m4_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. else {
.         local aerobic_m4_race4_est=string(aerobic_m4_race4[1,1], "%3.2f")
r; t=0.00 4:27:53
. }
r; t=0.00 4:27:53

. 
. 
. 
. *Test if two mediators explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.352289   .0337903    12.08   0.000     1.287657    1.420166
------------------------------------------------------------------------------
r; t=0.05 4:27:53

. local aerobic_m14_race0=`r(p)'
r; t=0.00 4:27:53

. 
. lincom _b[exe_aerobic_advice_m1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.211444   .0337147     6.89   0.000     1.147135    1.279359
------------------------------------------------------------------------------
r; t=0.04 4:27:53

. local aerobic_m14_race1=`r(p)'
r; t=0.00 4:27:53

. 
. lincom _b[exe_aerobic_advice_m1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.090192   .0492697     1.91   0.056     .9977786    1.191165
------------------------------------------------------------------------------
r; t=0.05 4:27:54

. local aerobic_m14_race3=`r(p)'
r; t=0.00 4:27:54

. 
. lincom _b[exe_aerobic_advice_m1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.056708   .0262972     2.22   0.027     1.006403    1.109527
------------------------------------------------------------------------------
r; t=0.05 4:27:54

. local aerobic_m14_race4=`r(p)'
r; t=0.00 4:27:54

. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 4:27:54

. local aerobic_m1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m1")]
r; t=0.00 4:27:54

. local aerobic_m2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m2")]
r; t=0.00 4:27:54

. local aerobic_m3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m3")]
r; t=0.00 4:27:54

. local aerobic_m4_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m4")]
r; t=0.00 4:27:54

. 
. 
. /*
> matrix Output=(aerobic_m1_race0, aerobic_m2_race0, aerobic_m12_race0, aerobic_m3_race0, aerobic_m13_race0, aerobic_m4_
> race0, aerobic_m14_race0 \ ///
> aerobic_m1_race1, aerobic_m2_race1, aerobic_m12_race1, aerobic_m3_race1, aerobic_m13_race1, aerobic_m4_race1, aerobic_
> m14_race1 \ ///
> aerobic_m1_race3, aerobic_m2_race3, aerobic_m12_race3, aerobic_m3_race3, aerobic_m13_race3, aerobic_m4_race3, aerobic_
> m14_race3 \ ///
> aerobic_m1_race4, aerobic_m2_race4, aerobic_m12_race4, aerobic_m3_race4, aerobic_m13_race4, aerobic_m4_race4, aerobic_
> m14_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.04 4:27:54

. putexcel A1=("") B1=("Estimates without mediators") C1=("Estimates with education mediator") D1=("Wald test with estim
> ates without mediators (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.04 4:27:54

. putexcel E1=("Estimates with household income mediator") F1=("Wald test with estimates without mediators (p-value)") G
> 1=("Estimates with two mediators") H1=("Wald test with estimates without mediators (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.03 4:27:54

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.03 4:27:54

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.03 4:27:54

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel B2="`aerobic_m1_race0_est'" B3="`aerobic_m1_race0_se'" B4="`aerobic_m1_race1_est'" B5="`aerobic_m1_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel B6="`aerobic_m1_race3_est'" B7="`aerobic_m1_race3_se'" B8="`aerobic_m1_race4_est'" B9="`aerobic_m1_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel B10=`aerobic_m1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel C2="`aerobic_m2_race0_est'" C3="`aerobic_m2_race0_se'" C4="`aerobic_m2_race1_est'" C5="`aerobic_m2_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.03 4:27:54

. putexcel C6="`aerobic_m2_race3_est'" C7="`aerobic_m2_race3_se'" C8="`aerobic_m2_race4_est'" C9="`aerobic_m2_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.03 4:27:54

. putexcel C10=`aerobic_m2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.03 4:27:54

. putexcel D2=`aerobic_m12_race0' D4=`aerobic_m12_race1' D6=`aerobic_m12_race3' D8=`aerobic_m12_race4', nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel E2="`aerobic_m3_race0_est'" E3="`aerobic_m3_race0_se'" E4="`aerobic_m3_race1_est'" E5="`aerobic_m3_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel E6="`aerobic_m3_race3_est'" E7="`aerobic_m3_race3_se'" E8="`aerobic_m3_race4_est'" E9="`aerobic_m3_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.03 4:27:54

. putexcel E10=`aerobic_m3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel F2=`aerobic_m13_race0' F4=`aerobic_m13_race1' F6=`aerobic_m13_race3' F8=`aerobic_m13_race4', nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel G2="`aerobic_m4_race0_est'" G3="`aerobic_m4_race0_se'" G4="`aerobic_m4_race1_est'" G5="`aerobic_m4_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel G6="`aerobic_m4_race3_est'" G7="`aerobic_m4_race3_se'" G8="`aerobic_m4_race4_est'" G9="`aerobic_m4_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel G10=`aerobic_m4_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel H2=`aerobic_m14_race0' H4=`aerobic_m14_race1' H6=`aerobic_m14_race3' H8=`aerobic_m14_race4', nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_m.xlsx saved
r; t=0.02 4:27:54

. putexcel close
r; t=0.01 4:27:54

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among men without mediators
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7900717    .081781    -2.28   0.023     .6449971    .9677769
------------------------------------------------------------------------------
r; t=0.05 4:27:54

. matrix strength_m1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:54

. local strength_m1_race0_se="(" + string(strength_m1_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:54

. local strength_m1_race0_p=strength_m1_race0[3,1]
r; t=0.00 4:27:54

. if `strength_m1_race0_p'<0.001 {
.         local strength_m1_race0_est=string(strength_m1_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m1_race0_p'<0.01 {
.         local strength_m1_race0_est=string(strength_m1_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m1_race0_p'<0.05 {
.         local strength_m1_race0_est=string(strength_m1_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else {
.         local strength_m1_race0_est=string(strength_m1_race0[1,1], "%3.2f")
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. 
. 
. lincom _b[exe_strength_advice_m1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9133186    .108829    -0.76   0.447     .7230942    1.153585
------------------------------------------------------------------------------
r; t=0.05 4:27:54

. matrix strength_m1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:54

. local strength_m1_race1_se="(" + string(strength_m1_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:54

. local strength_m1_race1_p=strength_m1_race1[3,1]
r; t=0.00 4:27:54

. if `strength_m1_race1_p'<0.001 {
.         local strength_m1_race1_est=string(strength_m1_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m1_race1_p'<0.01 {
.         local strength_m1_race1_est=string(strength_m1_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m1_race1_p'<0.05 {
.         local strength_m1_race1_est=string(strength_m1_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else {
.         local strength_m1_race1_est=string(strength_m1_race1[1,1], "%3.2f")
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. 
. 
. lincom _b[exe_strength_advice_m1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.079116   .1902966     0.43   0.666     .7637708    1.524661
------------------------------------------------------------------------------
r; t=0.04 4:27:54

. matrix strength_m1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:54

. local strength_m1_race3_se="(" + string(strength_m1_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:54

. local strength_m1_race3_p=strength_m1_race3[3,1]
r; t=0.00 4:27:54

. if `strength_m1_race3_p'<0.001 {
.         local strength_m1_race3_est=string(strength_m1_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m1_race3_p'<0.01 {
.         local strength_m1_race3_est=string(strength_m1_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m1_race3_p'<0.05 {
.         local strength_m1_race3_est=string(strength_m1_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else {
.         local strength_m1_race3_est=string(strength_m1_race3[1,1], "%3.2f")
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. 
. 
. lincom _b[exe_strength_advice_m1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .785374   .0816556    -2.32   0.020      .640585    .9628892
------------------------------------------------------------------------------
r; t=0.04 4:27:54

. matrix strength_m1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:54

. local strength_m1_race4_se="(" + string(strength_m1_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:54

. local strength_m1_race4_p=strength_m1_race4[3,1]
r; t=0.00 4:27:54

. if `strength_m1_race4_p'<0.001 {
.         local strength_m1_race4_est=string(strength_m1_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m1_race4_p'<0.01 {
.         local strength_m1_race4_est=string(strength_m1_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m1_race4_p'<0.05 {
.         local strength_m1_race4_est=string(strength_m1_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else {
.         local strength_m1_race4_est=string(strength_m1_race4[1,1], "%3.2f")
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. 
. 
. 
. *Meeting muscle strengthening recommendation among men with education mediator
. lincom _b[exe_strength_advice_m2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6662567   .0684887    -3.95   0.000     .5446797    .8149708
------------------------------------------------------------------------------
r; t=0.05 4:27:54

. matrix strength_m2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:54

. local strength_m2_race0_se="(" + string(strength_m2_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:54

. local strength_m2_race0_p=strength_m2_race0[3,1]
r; t=0.00 4:27:54

. if `strength_m2_race0_p'<0.001 {
.         local strength_m2_race0_est=string(strength_m2_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m2_race0_p'<0.01 {
.         local strength_m2_race0_est=string(strength_m2_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m2_race0_p'<0.05 {
.         local strength_m2_race0_est=string(strength_m2_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else {
.         local strength_m2_race0_est=string(strength_m2_race0[1,1], "%3.2f")
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. 
. 
. lincom _b[exe_strength_advice_m2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8085816   .0959725    -1.79   0.073     .6407558    1.020364
------------------------------------------------------------------------------
r; t=0.04 4:27:54

. matrix strength_m2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:54

. local strength_m2_race1_se="(" + string(strength_m2_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:54

. local strength_m2_race1_p=strength_m2_race1[3,1]
r; t=0.00 4:27:54

. if `strength_m2_race1_p'<0.001 {
.         local strength_m2_race1_est=string(strength_m2_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m2_race1_p'<0.01 {
.         local strength_m2_race1_est=string(strength_m2_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m2_race1_p'<0.05 {
.         local strength_m2_race1_est=string(strength_m2_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else {
.         local strength_m2_race1_est=string(strength_m2_race1[1,1], "%3.2f")
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. 
. 
. lincom _b[exe_strength_advice_m2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.045478   .1810578     0.26   0.797     .7445644    1.468006
------------------------------------------------------------------------------
r; t=0.04 4:27:54

. matrix strength_m2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:54

. local strength_m2_race3_se="(" + string(strength_m2_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:54

. local strength_m2_race3_p=strength_m2_race3[3,1]
r; t=0.00 4:27:54

. if `strength_m2_race3_p'<0.001 {
.         local strength_m2_race3_est=string(strength_m2_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m2_race3_p'<0.01 {
.         local strength_m2_race3_est=string(strength_m2_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else if `strength_m2_race3_p'<0.05 {
.         local strength_m2_race3_est=string(strength_m2_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. else {
.         local strength_m2_race3_est=string(strength_m2_race3[1,1], "%3.2f")
r; t=0.00 4:27:54
. }
r; t=0.00 4:27:54

. 
. 
. lincom _b[exe_strength_advice_m2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7547531    .077857    -2.73   0.006     .6165931    .9238707
------------------------------------------------------------------------------
r; t=0.04 4:27:55

. matrix strength_m2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:55

. local strength_m2_race4_se="(" + string(strength_m2_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:55

. local strength_m2_race4_p=strength_m2_race4[3,1]
r; t=0.00 4:27:55

. if `strength_m2_race4_p'<0.001 {
.         local strength_m2_race4_est=string(strength_m2_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m2_race4_p'<0.01 {
.         local strength_m2_race4_est=string(strength_m2_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m2_race4_p'<0.05 {
.         local strength_m2_race4_est=string(strength_m2_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else {
.         local strength_m2_race4_est=string(strength_m2_race4[1,1], "%3.2f")
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m2:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.185837   .0203399     9.94   0.000     1.146634     1.22638
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. local strength_m12_race0=`r(p)'
r; t=0.00 4:27:55

. 
. lincom _b[exe_strength_advice_m1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m2:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]1.praceethnicgp_multi_sim - [exe_strength_advice_m2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.129532   .0210434     6.54   0.000     1.089031    1.171538
------------------------------------------------------------------------------
r; t=0.06 4:27:55

. local strength_m12_race1=`r(p)'
r; t=0.00 4:27:55

. 
. lincom _b[exe_strength_advice_m1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m2:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]3.praceethnicgp_multi_sim - [exe_strength_advice_m2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.032175   .0266587     1.23   0.220     .9812248     1.08577
------------------------------------------------------------------------------
r; t=0.06 4:27:55

. local strength_m12_race3=`r(p)'
r; t=0.00 4:27:55

. 
. lincom _b[exe_strength_advice_m1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m2:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]4.praceethnicgp_multi_sim - [exe_strength_advice_m2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.040571   .0172261     2.40   0.016      1.00735    1.074887
------------------------------------------------------------------------------
r; t=0.06 4:27:55

. local strength_m12_race4=`r(p)'
r; t=0.00 4:27:55

. 
. 
. *Meeting muscle strengthening recommendation among men with hosuehold income mediator
. lincom _b[exe_strength_advice_m3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .681478   .0718497    -3.64   0.000     .5542525    .8379072
------------------------------------------------------------------------------
r; t=0.07 4:27:55

. matrix strength_m3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:55

. local strength_m3_race0_se="(" + string(strength_m3_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:55

. local strength_m3_race0_p=strength_m3_race0[3,1]
r; t=0.00 4:27:55

. if `strength_m3_race0_p'<0.001 {
.         local strength_m3_race0_est=string(strength_m3_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m3_race0_p'<0.01 {
.         local strength_m3_race0_est=string(strength_m3_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m3_race0_p'<0.05 {
.         local strength_m3_race0_est=string(strength_m3_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else {
.         local strength_m3_race0_est=string(strength_m3_race0[1,1], "%3.2f")
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. 
. 
. lincom _b[exe_strength_advice_m3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8432505   .1014688    -1.42   0.157     .6660869    1.067535
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. matrix strength_m3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:55

. local strength_m3_race1_se="(" + string(strength_m3_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:55

. local strength_m3_race1_p=strength_m3_race1[3,1]
r; t=0.00 4:27:55

. if `strength_m3_race1_p'<0.001 {
.         local strength_m3_race1_est=string(strength_m3_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m3_race1_p'<0.01 {
.         local strength_m3_race1_est=string(strength_m3_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m3_race1_p'<0.05 {
.         local strength_m3_race1_est=string(strength_m3_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else {
.         local strength_m3_race1_est=string(strength_m3_race1[1,1], "%3.2f")
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. 
. 
. lincom _b[exe_strength_advice_m3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.043165   .1845835     0.24   0.811     .7374564    1.475603
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. matrix strength_m3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:55

. local strength_m3_race3_se="(" + string(strength_m3_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:55

. local strength_m3_race3_p=strength_m3_race3[3,1]
r; t=0.00 4:27:55

. if `strength_m3_race3_p'<0.001 {
.         local strength_m3_race3_est=string(strength_m3_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m3_race3_p'<0.01 {
.         local strength_m3_race3_est=string(strength_m3_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m3_race3_p'<0.05 {
.         local strength_m3_race3_est=string(strength_m3_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else {
.         local strength_m3_race3_est=string(strength_m3_race3[1,1], "%3.2f")
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. 
. 
. lincom _b[exe_strength_advice_m3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7740793   .0820214    -2.42   0.016     .6289152    .9527497
------------------------------------------------------------------------------
r; t=0.04 4:27:55

. matrix strength_m3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:55

. local strength_m3_race4_se="(" + string(strength_m3_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:55

. local strength_m3_race4_p=strength_m3_race4[3,1]
r; t=0.00 4:27:55

. if `strength_m3_race4_p'<0.001 {
.         local strength_m3_race4_est=string(strength_m3_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m3_race4_p'<0.01 {
.         local strength_m3_race4_est=string(strength_m3_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m3_race4_p'<0.05 {
.         local strength_m3_race4_est=string(strength_m3_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else {
.         local strength_m3_race4_est=string(strength_m3_race4[1,1], "%3.2f")
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m3:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.15935   .0165757    10.34   0.000     1.127313    1.192298
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. local strength_m13_race0=`r(p)'
r; t=0.00 4:27:55

. 
. lincom _b[exe_strength_advice_m1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m3:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]1.praceethnicgp_multi_sim - [exe_strength_advice_m3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.083093    .016964     5.10   0.000     1.050349    1.116857
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. local strength_m13_race1=`r(p)'
r; t=0.00 4:27:55

. 
. lincom _b[exe_strength_advice_m1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m3:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]3.praceethnicgp_multi_sim - [exe_strength_advice_m3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.034464   .0241272     1.45   0.146     .9882398     1.08285
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. local strength_m13_race3=`r(p)'
r; t=0.00 4:27:55

. 
. lincom _b[exe_strength_advice_m1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m3:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]4.praceethnicgp_multi_sim - [exe_strength_advice_m3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.014591   .0135437     1.09   0.278     .9883902    1.041487
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. local strength_m13_race4=`r(p)'
r; t=0.00 4:27:55

. 
. 
. *Meeting muscle strengthening recommendation among men with two mediators
. lincom _b[exe_strength_advice_m4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6348685   .0658243    -4.38   0.000     .5181191    .7779255
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. matrix strength_m4_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:55

. local strength_m4_race0_se="(" + string(strength_m4_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:55

. local strength_m4_race0_p=strength_m4_race0[3,1]
r; t=0.00 4:27:55

. if `strength_m4_race0_p'<0.001 {
.         local strength_m4_race0_est=string(strength_m4_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m4_race0_p'<0.01 {
.         local strength_m4_race0_est=string(strength_m4_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m4_race0_p'<0.05 {
.         local strength_m4_race0_est=string(strength_m4_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else {
.         local strength_m4_race0_est=string(strength_m4_race0[1,1], "%3.2f")
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. 
. 
. lincom _b[exe_strength_advice_m4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7928623   .0944004    -1.95   0.051     .6278432    1.001254
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. matrix strength_m4_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:55

. local strength_m4_race1_se="(" + string(strength_m4_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:55

. local strength_m4_race1_p=strength_m4_race1[3,1]
r; t=0.00 4:27:55

. if `strength_m4_race1_p'<0.001 {
.         local strength_m4_race1_est=string(strength_m4_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m4_race1_p'<0.01 {
.         local strength_m4_race1_est=string(strength_m4_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m4_race1_p'<0.05 {
.         local strength_m4_race1_est=string(strength_m4_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else {
.         local strength_m4_race1_est=string(strength_m4_race1[1,1], "%3.2f")
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. 
. 
. lincom _b[exe_strength_advice_m4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.034719   .1808281     0.20   0.845      .734625    1.457401
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. matrix strength_m4_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:55

. local strength_m4_race3_se="(" + string(strength_m4_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:55

. local strength_m4_race3_p=strength_m4_race3[3,1]
r; t=0.00 4:27:55

. if `strength_m4_race3_p'<0.001 {
.         local strength_m4_race3_est=string(strength_m4_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m4_race3_p'<0.01 {
.         local strength_m4_race3_est=string(strength_m4_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m4_race3_p'<0.05 {
.         local strength_m4_race3_est=string(strength_m4_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else {
.         local strength_m4_race3_est=string(strength_m4_race3[1,1], "%3.2f")
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. 
. 
. lincom _b[exe_strength_advice_m4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7544823   .0785784    -2.71   0.007     .6151732    .9253387
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. matrix strength_m4_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:55

. local strength_m4_race4_se="(" + string(strength_m4_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:55

. local strength_m4_race4_p=strength_m4_race4[3,1]
r; t=0.00 4:27:55

. if `strength_m4_race4_p'<0.001 {
.         local strength_m4_race4_est=string(strength_m4_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m4_race4_p'<0.01 {
.         local strength_m4_race4_est=string(strength_m4_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else if `strength_m4_race4_p'<0.05 {
.         local strength_m4_race4_est=string(strength_m4_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. else {
.         local strength_m4_race4_est=string(strength_m4_race4[1,1], "%3.2f")
r; t=0.00 4:27:55
. }
r; t=0.00 4:27:55

. 
. 
. *Test if two mediators explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_m1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m4:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]0.praceethnicgp_multi_sim - [exe_strength_advice_m4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.244465   .0224127    12.14   0.000     1.201303    1.289178
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. local strength_m14_race0=`r(p)'
r; t=0.00 4:27:55

. 
. lincom _b[exe_strength_advice_m1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m4:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]1.praceethnicgp_multi_sim - [exe_strength_advice_m4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.151926   .0224774     7.25   0.000     1.108703    1.196834
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. local strength_m14_race1=`r(p)'
r; t=0.00 4:27:55

. 
. lincom _b[exe_strength_advice_m1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m4:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]3.praceethnicgp_multi_sim - [exe_strength_advice_m4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.042908   .0317768     1.38   0.168     .9824495    1.107086
------------------------------------------------------------------------------
r; t=0.05 4:27:55

. local strength_m14_race3=`r(p)'
r; t=0.00 4:27:55

. 
. lincom _b[exe_strength_advice_m1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m4:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_m1]4.praceethnicgp_multi_sim - [exe_strength_advice_m4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.040944   .0178989     2.33   0.020     1.006448    1.076623
------------------------------------------------------------------------------
r; t=0.05 4:27:56

. local strength_m14_race4=`r(p)'
r; t=0.00 4:27:56

. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 4:27:56

. local strength_m1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m1")]
r; t=0.00 4:27:56

. local strength_m2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m2")]
r; t=0.00 4:27:56

. local strength_m3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m3")]
r; t=0.00 4:27:56

. local strength_m4_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m4")]
r; t=0.00 4:27:56

. 
. 
. 
. /*
> matrix Output=(strength_m1_race0, strength_m2_race0, strength_m12_race0, strength_m3_race0, strength_m13_race0, streng
> th_m4_race0, strength_m14_race0 \ ///
> strength_m1_race1, strength_m2_race1, strength_m12_race1, strength_m3_race1, strength_m13_race1, strength_m4_race1, st
> rength_m14_race1 \ ///
> strength_m1_race3, strength_m2_race3, strength_m12_race3, strength_m3_race3, strength_m13_race3, strength_m4_race3, st
> rength_m14_race3 \ ///
> strength_m1_race4, strength_m2_race4, strength_m12_race4, strength_m3_race4, strength_m13_race4, strength_m4_race4, st
> rength_m14_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 4:27:56

. putexcel A1=("") B1=("Estimates without mediators") C1=("Estimates with education mediator") D1=("Wald test with estim
> ates without mediators (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.01 4:27:56

. putexcel E1=("Estimates with household income mediator") F1=("Wald test with estimates without mediators (p-value)") G
> 1=("Estimates with two mediators") H1=("Wald test with estimates without mediators (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel B2="`strength_m1_race0_est'" B3="`strength_m1_race0_se'" B4="`strength_m1_race1_est'" B5="`strength_m1_race1_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel B6="`strength_m1_race3_est'" B7="`strength_m1_race3_se'" B8="`strength_m1_race4_est'" B9="`strength_m1_race4_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel B10=`strength_m1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel C2="`strength_m2_race0_est'" C3="`strength_m2_race0_se'" C4="`strength_m2_race1_est'" C5="`strength_m2_race1_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.04 4:27:56

. putexcel C6="`strength_m2_race3_est'" C7="`strength_m2_race3_se'" C8="`strength_m2_race4_est'" C9="`strength_m2_race4_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.03 4:27:56

. putexcel C10=`strength_m2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel D2=`strength_m12_race0' D4=`strength_m12_race1' D6=`strength_m12_race3' D8=`strength_m12_race4', nformat(0.00
> 0)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.03 4:27:56

. putexcel E2="`strength_m3_race0_est'" E3="`strength_m3_race0_se'" E4="`strength_m3_race1_est'" E5="`strength_m3_race1_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel E6="`strength_m3_race3_est'" E7="`strength_m3_race3_se'" E8="`strength_m3_race4_est'" E9="`strength_m3_race4_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.03 4:27:56

. putexcel E10=`strength_m3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel F2=`strength_m13_race0' F4=`strength_m13_race1' F6=`strength_m13_race3' F8=`strength_m13_race4', nformat(0.00
> 0)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel G2="`strength_m4_race0_est'" G3="`strength_m4_race0_se'" G4="`strength_m4_race1_est'" G5="`strength_m4_race1_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.03 4:27:56

. putexcel G6="`strength_m4_race3_est'" G7="`strength_m4_race3_se'" G8="`strength_m4_race4_est'" G9="`strength_m4_race4_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel G10=`strength_m4_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel H2=`strength_m14_race0' H4=`strength_m14_race1' H6=`strength_m14_race3' H8=`strength_m14_race4', nformat(0.00
> 0)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_m.xlsx saved
r; t=0.02 4:27:56

. putexcel close
r; t=0.00 4:27:56

. 
. 
. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among women without mediators
. lincom _b[exe_aerobic_advice_f1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.625159   .1660646     4.75   0.000       1.3302    1.985522
------------------------------------------------------------------------------
r; t=0.05 4:27:56

. matrix aerobic_f1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:56

. local aerobic_f1_race0_se="(" + string(aerobic_f1_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:56

. local aerobic_f1_race0_p=aerobic_f1_race0[3,1]
r; t=0.00 4:27:56

. if `aerobic_f1_race0_p'<0.001 {
.         local aerobic_f1_race0_est=string(aerobic_f1_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f1_race0_p'<0.01 {
.         local aerobic_f1_race0_est=string(aerobic_f1_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f1_race0_p'<0.05 {
.         local aerobic_f1_race0_est=string(aerobic_f1_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else {
.         local aerobic_f1_race0_est=string(aerobic_f1_race0[1,1], "%3.2f")
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. 
. 
. lincom _b[exe_aerobic_advice_f1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.571439   .1813432     3.92   0.000     1.253341     1.97027
------------------------------------------------------------------------------
r; t=0.04 4:27:56

. matrix aerobic_f1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:56

. local aerobic_f1_race1_se="(" + string(aerobic_f1_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:56

. local aerobic_f1_race1_p=aerobic_f1_race1[3,1]
r; t=0.00 4:27:56

. if `aerobic_f1_race1_p'<0.001 {
.         local aerobic_f1_race1_est=string(aerobic_f1_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f1_race1_p'<0.01 {
.         local aerobic_f1_race1_est=string(aerobic_f1_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f1_race1_p'<0.05 {
.         local aerobic_f1_race1_est=string(aerobic_f1_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else {
.         local aerobic_f1_race1_est=string(aerobic_f1_race1[1,1], "%3.2f")
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. 
. 
. lincom _b[exe_aerobic_advice_f1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.190416   .1984337     1.05   0.296     .8586366    1.650395
------------------------------------------------------------------------------
r; t=0.04 4:27:56

. matrix aerobic_f1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:56

. local aerobic_f1_race3_se="(" + string(aerobic_f1_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:56

. local aerobic_f1_race3_p=aerobic_f1_race3[3,1]
r; t=0.00 4:27:56

. if `aerobic_f1_race3_p'<0.001 {
.         local aerobic_f1_race3_est=string(aerobic_f1_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f1_race3_p'<0.01 {
.         local aerobic_f1_race3_est=string(aerobic_f1_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f1_race3_p'<0.05 {
.         local aerobic_f1_race3_est=string(aerobic_f1_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else {
.         local aerobic_f1_race3_est=string(aerobic_f1_race3[1,1], "%3.2f")
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. 
. 
. lincom _b[exe_aerobic_advice_f1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.047217   .1067916     0.45   0.651     .8574997    1.278908
------------------------------------------------------------------------------
r; t=0.04 4:27:56

. matrix aerobic_f1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:56

. local aerobic_f1_race4_se="(" + string(aerobic_f1_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:56

. local aerobic_f1_race4_p=aerobic_f1_race4[3,1]
r; t=0.00 4:27:56

. if `aerobic_f1_race4_p'<0.001 {
.         local aerobic_f1_race4_est=string(aerobic_f1_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f1_race4_p'<0.01 {
.         local aerobic_f1_race4_est=string(aerobic_f1_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f1_race4_p'<0.05 {
.         local aerobic_f1_race4_est=string(aerobic_f1_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else {
.         local aerobic_f1_race4_est=string(aerobic_f1_race4[1,1], "%3.2f")
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. 
. 
. 
. *Meeting aerobic exercise recommendation among women with education mediator
. lincom _b[exe_aerobic_advice_f2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.34148   .1362094     2.89   0.004       1.0994    1.636863
------------------------------------------------------------------------------
r; t=0.05 4:27:56

. matrix aerobic_f2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:56

. local aerobic_f2_race0_se="(" + string(aerobic_f2_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:56

. local aerobic_f2_race0_p=aerobic_f2_race0[3,1]
r; t=0.00 4:27:56

. if `aerobic_f2_race0_p'<0.001 {
.         local aerobic_f2_race0_est=string(aerobic_f2_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f2_race0_p'<0.01 {
.         local aerobic_f2_race0_est=string(aerobic_f2_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f2_race0_p'<0.05 {
.         local aerobic_f2_race0_est=string(aerobic_f2_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else {
.         local aerobic_f2_race0_est=string(aerobic_f2_race0[1,1], "%3.2f")
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. 
. 
. lincom _b[exe_aerobic_advice_f2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.356786   .1567313     2.64   0.008     1.081891    1.701529
------------------------------------------------------------------------------
r; t=0.05 4:27:56

. matrix aerobic_f2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:56

. local aerobic_f2_race1_se="(" + string(aerobic_f2_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:56

. local aerobic_f2_race1_p=aerobic_f2_race1[3,1]
r; t=0.00 4:27:56

. if `aerobic_f2_race1_p'<0.001 {
.         local aerobic_f2_race1_est=string(aerobic_f2_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f2_race1_p'<0.01 {
.         local aerobic_f2_race1_est=string(aerobic_f2_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f2_race1_p'<0.05 {
.         local aerobic_f2_race1_est=string(aerobic_f2_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else {
.         local aerobic_f2_race1_est=string(aerobic_f2_race1[1,1], "%3.2f")
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. 
. 
. lincom _b[exe_aerobic_advice_f2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.186589   .2002504     1.01   0.311      .852413    1.651773
------------------------------------------------------------------------------
r; t=0.05 4:27:56

. matrix aerobic_f2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:56

. local aerobic_f2_race3_se="(" + string(aerobic_f2_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:56

. local aerobic_f2_race3_p=aerobic_f2_race3[3,1]
r; t=0.00 4:27:56

. if `aerobic_f2_race3_p'<0.001 {
.         local aerobic_f2_race3_est=string(aerobic_f2_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f2_race3_p'<0.01 {
.         local aerobic_f2_race3_est=string(aerobic_f2_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f2_race3_p'<0.05 {
.         local aerobic_f2_race3_est=string(aerobic_f2_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else {
.         local aerobic_f2_race3_est=string(aerobic_f2_race3[1,1], "%3.2f")
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. 
. 
. lincom _b[exe_aerobic_advice_f2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.010125   .1022304     0.10   0.921     .8283778    1.231747
------------------------------------------------------------------------------
r; t=0.05 4:27:56

. matrix aerobic_f2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:56

. local aerobic_f2_race4_se="(" + string(aerobic_f2_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:56

. local aerobic_f2_race4_p=aerobic_f2_race4[3,1]
r; t=0.00 4:27:56

. if `aerobic_f2_race4_p'<0.001 {
.         local aerobic_f2_race4_est=string(aerobic_f2_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f2_race4_p'<0.01 {
.         local aerobic_f2_race4_est=string(aerobic_f2_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else if `aerobic_f2_race4_p'<0.05 {
.         local aerobic_f2_race4_est=string(aerobic_f2_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. else {
.         local aerobic_f2_race4_est=string(aerobic_f2_race4[1,1], "%3.2f")
r; t=0.00 4:27:56
. }
r; t=0.00 4:27:56

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.211467   .0245136     9.48   0.000     1.164362    1.260479
------------------------------------------------------------------------------
r; t=0.05 4:27:56

. local aerobic_f12_race0=`r(p)'
r; t=0.00 4:27:56

. 
. lincom _b[exe_aerobic_advice_f1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.158207   .0256349     6.64   0.000     1.109037    1.209556
------------------------------------------------------------------------------
r; t=0.05 4:27:56

. local aerobic_f12_race1=`r(p)'
r; t=0.00 4:27:56

. 
. lincom _b[exe_aerobic_advice_f1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.003225   .0308691     0.10   0.917     .9445112    1.065589
------------------------------------------------------------------------------
r; t=0.04 4:27:57

. local aerobic_f12_race3=`r(p)'
r; t=0.00 4:27:57

. 
. lincom _b[exe_aerobic_advice_f1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.036721   .0206862     1.81   0.071     .9969588    1.078068
------------------------------------------------------------------------------
r; t=0.07 4:27:57

. local aerobic_f12_race4=`r(p)'
r; t=0.00 4:27:57

. 
. 
. *Meeting aerobic exercise recommendation among women with household income mediator
. lincom _b[exe_aerobic_advice_f3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.316781    .141226     2.57   0.010      1.06714    1.624822
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. matrix aerobic_f3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:57

. local aerobic_f3_race0_se="(" + string(aerobic_f3_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:57

. local aerobic_f3_race0_p=aerobic_f3_race0[3,1]
r; t=0.00 4:27:57

. if `aerobic_f3_race0_p'<0.001 {
.         local aerobic_f3_race0_est=string(aerobic_f3_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f3_race0_p'<0.01 {
.         local aerobic_f3_race0_est=string(aerobic_f3_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f3_race0_p'<0.05 {
.         local aerobic_f3_race0_est=string(aerobic_f3_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else {
.         local aerobic_f3_race0_est=string(aerobic_f3_race0[1,1], "%3.2f")
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. 
. 
. lincom _b[exe_aerobic_advice_f3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.406673   .1693627     2.83   0.005     1.110986    1.781055
------------------------------------------------------------------------------
r; t=0.06 4:27:57

. matrix aerobic_f3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:57

. local aerobic_f3_race1_se="(" + string(aerobic_f3_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:57

. local aerobic_f3_race1_p=aerobic_f3_race1[3,1]
r; t=0.00 4:27:57

. if `aerobic_f3_race1_p'<0.001 {
.         local aerobic_f3_race1_est=string(aerobic_f3_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f3_race1_p'<0.01 {
.         local aerobic_f3_race1_est=string(aerobic_f3_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f3_race1_p'<0.05 {
.         local aerobic_f3_race1_est=string(aerobic_f3_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else {
.         local aerobic_f3_race1_est=string(aerobic_f3_race1[1,1], "%3.2f")
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. 
. 
. lincom _b[exe_aerobic_advice_f3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.162926   .1954239     0.90   0.369     .8365887    1.616563
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. matrix aerobic_f3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:57

. local aerobic_f3_race3_se="(" + string(aerobic_f3_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:57

. local aerobic_f3_race3_p=aerobic_f3_race3[3,1]
r; t=0.00 4:27:57

. if `aerobic_f3_race3_p'<0.001 {
.         local aerobic_f3_race3_est=string(aerobic_f3_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f3_race3_p'<0.01 {
.         local aerobic_f3_race3_est=string(aerobic_f3_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f3_race3_p'<0.05 {
.         local aerobic_f3_race3_est=string(aerobic_f3_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else {
.         local aerobic_f3_race3_est=string(aerobic_f3_race3[1,1], "%3.2f")
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. 
. 
. lincom _b[exe_aerobic_advice_f3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.04067   .1112246     0.37   0.709      .843992     1.28318
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. matrix aerobic_f3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:57

. local aerobic_f3_race4_se="(" + string(aerobic_f3_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:57

. local aerobic_f3_race4_p=aerobic_f3_race4[3,1]
r; t=0.00 4:27:57

. if `aerobic_f3_race4_p'<0.001 {
.         local aerobic_f3_race4_est=string(aerobic_f3_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f3_race4_p'<0.01 {
.         local aerobic_f3_race4_est=string(aerobic_f3_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f3_race4_p'<0.05 {
.         local aerobic_f3_race4_est=string(aerobic_f3_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else {
.         local aerobic_f3_race4_est=string(aerobic_f3_race4[1,1], "%3.2f")
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. 
. 
. *Test if household income explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.234191   .0288197     9.01   0.000     1.178978    1.291989
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. local aerobic_f13_race0=`r(p)'
r; t=0.00 4:27:57

. 
. lincom _b[exe_aerobic_advice_f1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.117132   .0288031     4.30   0.000     1.062081    1.175036
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. local aerobic_f13_race1=`r(p)'
r; t=0.00 4:27:57

. 
. lincom _b[exe_aerobic_advice_f1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.023638   .0337987     0.71   0.479     .9594917    1.092073
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. local aerobic_f13_race3=`r(p)'
r; t=0.00 4:27:57

. 
. lincom _b[exe_aerobic_advice_f1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.006291   .0231589     0.27   0.785     .9619091    1.052721
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. local aerobic_f13_race4=`r(p)'
r; t=0.00 4:27:57

. 
. 
. *Meeting aerobic exercise recommendation among women with two mediators
. lincom _b[exe_aerobic_advice_f4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.238304   .1298103     2.04   0.041     1.008316    1.520751
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. matrix aerobic_f4_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:57

. local aerobic_f4_race0_se="(" + string(aerobic_f4_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:57

. local aerobic_f4_race0_p=aerobic_f4_race0[3,1]
r; t=0.00 4:27:57

. if `aerobic_f4_race0_p'<0.001 {
.         local aerobic_f4_race0_est=string(aerobic_f4_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f4_race0_p'<0.01 {
.         local aerobic_f4_race0_est=string(aerobic_f4_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f4_race0_p'<0.05 {
.         local aerobic_f4_race0_est=string(aerobic_f4_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else {
.         local aerobic_f4_race0_est=string(aerobic_f4_race0[1,1], "%3.2f")
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. 
. 
. lincom _b[exe_aerobic_advice_f4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.317664   .1561513     2.33   0.020     1.044557    1.662178
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. matrix aerobic_f4_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:57

. local aerobic_f4_race1_se="(" + string(aerobic_f4_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:57

. local aerobic_f4_race1_p=aerobic_f4_race1[3,1]
r; t=0.00 4:27:57

. if `aerobic_f4_race1_p'<0.001 {
.         local aerobic_f4_race1_est=string(aerobic_f4_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f4_race1_p'<0.01 {
.         local aerobic_f4_race1_est=string(aerobic_f4_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f4_race1_p'<0.05 {
.         local aerobic_f4_race1_est=string(aerobic_f4_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else {
.         local aerobic_f4_race1_est=string(aerobic_f4_race1[1,1], "%3.2f")
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. 
. 
. lincom _b[exe_aerobic_advice_f4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.170745   .1973526     0.94   0.350     .8413467    1.629107
------------------------------------------------------------------------------
r; t=0.04 4:27:57

. matrix aerobic_f4_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:57

. local aerobic_f4_race3_se="(" + string(aerobic_f4_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:57

. local aerobic_f4_race3_p=aerobic_f4_race3[3,1]
r; t=0.00 4:27:57

. if `aerobic_f4_race3_p'<0.001 {
.         local aerobic_f4_race3_est=string(aerobic_f4_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f4_race3_p'<0.01 {
.         local aerobic_f4_race3_est=string(aerobic_f4_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f4_race3_p'<0.05 {
.         local aerobic_f4_race3_est=string(aerobic_f4_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else {
.         local aerobic_f4_race3_est=string(aerobic_f4_race3[1,1], "%3.2f")
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. 
. 
. lincom _b[exe_aerobic_advice_f4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.017946   .1062605     0.17   0.865     .8296025    1.249049
------------------------------------------------------------------------------
r; t=0.04 4:27:57

. matrix aerobic_f4_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:57

. local aerobic_f4_race4_se="(" + string(aerobic_f4_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:57

. local aerobic_f4_race4_p=aerobic_f4_race4[3,1]
r; t=0.00 4:27:57

. if `aerobic_f4_race4_p'<0.001 {
.         local aerobic_f4_race4_est=string(aerobic_f4_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f4_race4_p'<0.01 {
.         local aerobic_f4_race4_est=string(aerobic_f4_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else if `aerobic_f4_race4_p'<0.05 {
.         local aerobic_f4_race4_est=string(aerobic_f4_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. else {
.         local aerobic_f4_race4_est=string(aerobic_f4_race4[1,1], "%3.2f")
r; t=0.00 4:27:57
. }
r; t=0.00 4:27:57

. 
. 
. 
. *Test if two mediators explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_aerobic_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.312407   .0316282    11.28   0.000     1.251858    1.375885
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. local aerobic_f14_race0=`r(p)'
r; t=0.00 4:27:57

. 
. lincom _b[exe_aerobic_advice_f1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.192594   .0319348     6.58   0.000     1.131617    1.256857
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. local aerobic_f14_race1=`r(p)'
r; t=0.00 4:27:57

. 
. lincom _b[exe_aerobic_advice_f1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.016802   .0375865     0.45   0.652     .9457392    1.093205
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. local aerobic_f14_race3=`r(p)'
r; t=0.00 4:27:57

. 
. lincom _b[exe_aerobic_advice_f1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.028755   .0244365     1.19   0.233      .981958    1.077782
------------------------------------------------------------------------------
r; t=0.05 4:27:57

. local aerobic_f14_race4=`r(p)'
r; t=0.00 4:27:57

. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 4:27:57

. local aerobic_f1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f1")]
r; t=0.00 4:27:57

. local aerobic_f2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f2")]
r; t=0.00 4:27:57

. local aerobic_f3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f3")]
r; t=0.00 4:27:57

. local aerobic_f4_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f4")]
r; t=0.00 4:27:57

. 
. 
. /*
> matrix Output=(aerobic_f1_race0, aerobic_f2_race0, aerobic_f12_race0, aerobic_f3_race0, aerobic_f13_race0, aerobic_f4_
> race0, aerobic_f14_race0 \ ///
> aerobic_f1_race1, aerobic_f2_race1, aerobic_f12_race1, aerobic_f3_race1, aerobic_f13_race1, aerobic_f4_race1, aerobic_
> f14_race1 \ ///
> aerobic_f1_race3, aerobic_f2_race3, aerobic_f12_race3, aerobic_f3_race3, aerobic_f13_race3, aerobic_f4_race3, aerobic_
> f14_race3 \ ///
> aerobic_f1_race4, aerobic_f2_race4, aerobic_f12_race4, aerobic_f3_race4, aerobic_f13_race4, aerobic_f4_race4, aerobic_
> f14_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 4:27:57

. putexcel A1=("") B1=("Estimates without mediators") C1=("Estimates with education mediator") D1=("Wald test with estim
> ates without mediators (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 4:27:57

. putexcel E1=("Estimates with household income mediator") F1=("Wald test with estimates without mediators (p-value)") G
> 1=("Estimates with two mediators") H1=("Wald test with estimates without mediators (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 4:27:57

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 4:27:57

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 4:27:57

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 4:27:57

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 4:27:57

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 4:27:57

. putexcel B2="`aerobic_f1_race0_est'" B3="`aerobic_f1_race0_se'" B4="`aerobic_f1_race1_est'" B5="`aerobic_f1_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 4:27:57

. putexcel B6="`aerobic_f1_race3_est'" B7="`aerobic_f1_race3_se'" B8="`aerobic_f1_race4_est'" B9="`aerobic_f1_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.03 4:27:58

. putexcel B10=`aerobic_f1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 4:27:58

. putexcel C2="`aerobic_f2_race0_est'" C3="`aerobic_f2_race0_se'" C4="`aerobic_f2_race1_est'" C5="`aerobic_f2_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 4:27:58

. putexcel C6="`aerobic_f2_race3_est'" C7="`aerobic_f2_race3_se'" C8="`aerobic_f2_race4_est'" C9="`aerobic_f2_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 4:27:58

. putexcel C10=`aerobic_f2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.03 4:27:58

. putexcel D2=`aerobic_f12_race0' D4=`aerobic_f12_race1' D6=`aerobic_f12_race3' D8=`aerobic_f12_race4', nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 4:27:58

. putexcel E2="`aerobic_f3_race0_est'" E3="`aerobic_f3_race0_se'" E4="`aerobic_f3_race1_est'" E5="`aerobic_f3_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 4:27:58

. putexcel E6="`aerobic_f3_race3_est'" E7="`aerobic_f3_race3_se'" E8="`aerobic_f3_race4_est'" E9="`aerobic_f3_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.01 4:27:58

. putexcel E10=`aerobic_f3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 4:27:58

. putexcel F2=`aerobic_f13_race0' F4=`aerobic_f13_race1' F6=`aerobic_f13_race3' F8=`aerobic_f13_race4', nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 4:27:58

. putexcel G2="`aerobic_f4_race0_est'" G3="`aerobic_f4_race0_se'" G4="`aerobic_f4_race1_est'" G5="`aerobic_f4_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 4:27:58

. putexcel G6="`aerobic_f4_race3_est'" G7="`aerobic_f4_race3_se'" G8="`aerobic_f4_race4_est'" G9="`aerobic_f4_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 4:27:58

. putexcel G10=`aerobic_f4_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 4:27:58

. putexcel H2=`aerobic_f14_race0' H4=`aerobic_f14_race1' H6=`aerobic_f14_race3' H8=`aerobic_f14_race4', nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_f.xlsx saved
r; t=0.02 4:27:58

. putexcel close
r; t=0.00 4:27:58

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among women without mediators
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.101554   .1330189     0.80   0.423     .8693974    1.395704
------------------------------------------------------------------------------
r; t=0.05 4:27:58

. matrix strength_f1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:58

. local strength_f1_race0_se="(" + string(strength_f1_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:58

. local strength_f1_race0_p=strength_f1_race0[3,1]
r; t=0.00 4:27:58

. if `strength_f1_race0_p'<0.001 {
.         local strength_f1_race0_est=string(strength_f1_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f1_race0_p'<0.01 {
.         local strength_f1_race0_est=string(strength_f1_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f1_race0_p'<0.05 {
.         local strength_f1_race0_est=string(strength_f1_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else {
.         local strength_f1_race0_est=string(strength_f1_race0[1,1], "%3.2f")
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. 
. 
. lincom _b[exe_strength_advice_f1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.209699   .1642585     1.40   0.161     .9270367    1.578546
------------------------------------------------------------------------------
r; t=0.05 4:27:58

. matrix strength_f1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:58

. local strength_f1_race1_se="(" + string(strength_f1_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:58

. local strength_f1_race1_p=strength_f1_race1[3,1]
r; t=0.00 4:27:58

. if `strength_f1_race1_p'<0.001 {
.         local strength_f1_race1_est=string(strength_f1_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f1_race1_p'<0.01 {
.         local strength_f1_race1_est=string(strength_f1_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f1_race1_p'<0.05 {
.         local strength_f1_race1_est=string(strength_f1_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else {
.         local strength_f1_race1_est=string(strength_f1_race1[1,1], "%3.2f")
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. 
. 
. lincom _b[exe_strength_advice_f1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.220832   .2581516     0.94   0.345     .8066117    1.847768
------------------------------------------------------------------------------
r; t=0.05 4:27:58

. matrix strength_f1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:58

. local strength_f1_race3_se="(" + string(strength_f1_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:58

. local strength_f1_race3_p=strength_f1_race3[3,1]
r; t=0.00 4:27:58

. if `strength_f1_race3_p'<0.001 {
.         local strength_f1_race3_est=string(strength_f1_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f1_race3_p'<0.01 {
.         local strength_f1_race3_est=string(strength_f1_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f1_race3_p'<0.05 {
.         local strength_f1_race3_est=string(strength_f1_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else {
.         local strength_f1_race3_est=string(strength_f1_race3[1,1], "%3.2f")
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. 
. 
. lincom _b[exe_strength_advice_f1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8829678   .1071518    -1.03   0.305     .6960619    1.120061
------------------------------------------------------------------------------
r; t=0.04 4:27:58

. matrix strength_f1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:58

. local strength_f1_race4_se="(" + string(strength_f1_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:58

. local strength_f1_race4_p=strength_f1_race4[3,1]
r; t=0.00 4:27:58

. if `strength_f1_race4_p'<0.001 {
.         local strength_f1_race4_est=string(strength_f1_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f1_race4_p'<0.01 {
.         local strength_f1_race4_est=string(strength_f1_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f1_race4_p'<0.05 {
.         local strength_f1_race4_est=string(strength_f1_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else {
.         local strength_f1_race4_est=string(strength_f1_race4[1,1], "%3.2f")
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. 
. 
. 
. *Meeting muscle strengthening recommendation among women with education mediator
. lincom _b[exe_strength_advice_f2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9183883   .1132995    -0.69   0.490     .7211332      1.1696
------------------------------------------------------------------------------
r; t=0.05 4:27:58

. matrix strength_f2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:58

. local strength_f2_race0_se="(" + string(strength_f2_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:58

. local strength_f2_race0_p=strength_f2_race0[3,1]
r; t=0.00 4:27:58

. if `strength_f2_race0_p'<0.001 {
.         local strength_f2_race0_est=string(strength_f2_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f2_race0_p'<0.01 {
.         local strength_f2_race0_est=string(strength_f2_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f2_race0_p'<0.05 {
.         local strength_f2_race0_est=string(strength_f2_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else {
.         local strength_f2_race0_est=string(strength_f2_race0[1,1], "%3.2f")
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. 
. 
. lincom _b[exe_strength_advice_f2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.050136   .1458748     0.35   0.725     .7998429    1.378753
------------------------------------------------------------------------------
r; t=0.04 4:27:58

. matrix strength_f2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:58

. local strength_f2_race1_se="(" + string(strength_f2_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:58

. local strength_f2_race1_p=strength_f2_race1[3,1]
r; t=0.00 4:27:58

. if `strength_f2_race1_p'<0.001 {
.         local strength_f2_race1_est=string(strength_f2_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f2_race1_p'<0.01 {
.         local strength_f2_race1_est=string(strength_f2_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f2_race1_p'<0.05 {
.         local strength_f2_race1_est=string(strength_f2_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else {
.         local strength_f2_race1_est=string(strength_f2_race1[1,1], "%3.2f")
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. 
. 
. lincom _b[exe_strength_advice_f2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.234516    .257062     1.01   0.312     .8208272      1.8567
------------------------------------------------------------------------------
r; t=0.04 4:27:58

. matrix strength_f2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:58

. local strength_f2_race3_se="(" + string(strength_f2_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:58

. local strength_f2_race3_p=strength_f2_race3[3,1]
r; t=0.00 4:27:58

. if `strength_f2_race3_p'<0.001 {
.         local strength_f2_race3_est=string(strength_f2_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f2_race3_p'<0.01 {
.         local strength_f2_race3_est=string(strength_f2_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f2_race3_p'<0.05 {
.         local strength_f2_race3_est=string(strength_f2_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else {
.         local strength_f2_race3_est=string(strength_f2_race3[1,1], "%3.2f")
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. 
. 
. lincom _b[exe_strength_advice_f2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8460151   .1048503    -1.35   0.177     .6635673    1.078627
------------------------------------------------------------------------------
r; t=0.04 4:27:58

. matrix strength_f2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:58

. local strength_f2_race4_se="(" + string(strength_f2_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:58

. local strength_f2_race4_p=strength_f2_race4[3,1]
r; t=0.00 4:27:58

. if `strength_f2_race4_p'<0.001 {
.         local strength_f2_race4_est=string(strength_f2_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f2_race4_p'<0.01 {
.         local strength_f2_race4_est=string(strength_f2_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f2_race4_p'<0.05 {
.         local strength_f2_race4_est=string(strength_f2_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else {
.         local strength_f2_race4_est=string(strength_f2_race4[1,1], "%3.2f")
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f2:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.199443   .0231699     9.41   0.000     1.154879    1.245726
------------------------------------------------------------------------------
r; t=0.05 4:27:58

. local strength_f12_race0=`r(p)'
r; t=0.00 4:27:58

. 
. lincom _b[exe_strength_advice_f1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f2:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]1.praceethnicgp_multi_sim - [exe_strength_advice_f2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.151945   .0240934     6.76   0.000     1.105677    1.200148
------------------------------------------------------------------------------
r; t=0.05 4:27:58

. local strength_f12_race1=`r(p)'
r; t=0.00 4:27:58

. 
. lincom _b[exe_strength_advice_f1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f2:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]3.praceethnicgp_multi_sim - [exe_strength_advice_f2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9889155   .0268907    -0.41   0.682     .9375905     1.04305
------------------------------------------------------------------------------
r; t=0.05 4:27:58

. local strength_f12_race3=`r(p)'
r; t=0.00 4:27:58

. 
. lincom _b[exe_strength_advice_f1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f2:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]4.praceethnicgp_multi_sim - [exe_strength_advice_f2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.043678    .019785     2.26   0.024     1.005612    1.083186
------------------------------------------------------------------------------
r; t=0.05 4:27:58

. local strength_f12_race4=`r(p)'
r; t=0.00 4:27:58

. 
. 
. *Meeting muscle strengthening recommendation among women with hosuehold income mediator
. lincom _b[exe_strength_advice_f3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9565367   .1162879    -0.37   0.715     .7537362    1.213903
------------------------------------------------------------------------------
r; t=0.04 4:27:58

. matrix strength_f3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:58

. local strength_f3_race0_se="(" + string(strength_f3_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:58

. local strength_f3_race0_p=strength_f3_race0[3,1]
r; t=0.00 4:27:58

. if `strength_f3_race0_p'<0.001 {
.         local strength_f3_race0_est=string(strength_f3_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f3_race0_p'<0.01 {
.         local strength_f3_race0_est=string(strength_f3_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f3_race0_p'<0.05 {
.         local strength_f3_race0_est=string(strength_f3_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else {
.         local strength_f3_race0_est=string(strength_f3_race0[1,1], "%3.2f")
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. 
. 
. lincom _b[exe_strength_advice_f3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.122294   .1537185     0.84   0.400     .8580632    1.467893
------------------------------------------------------------------------------
r; t=0.05 4:27:58

. matrix strength_f3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:58

. local strength_f3_race1_se="(" + string(strength_f3_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:58

. local strength_f3_race1_p=strength_f3_race1[3,1]
r; t=0.00 4:27:58

. if `strength_f3_race1_p'<0.001 {
.         local strength_f3_race1_est=string(strength_f3_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f3_race1_p'<0.01 {
.         local strength_f3_race1_est=string(strength_f3_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f3_race1_p'<0.05 {
.         local strength_f3_race1_est=string(strength_f3_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else {
.         local strength_f3_race1_est=string(strength_f3_race1[1,1], "%3.2f")
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. 
. 
. lincom _b[exe_strength_advice_f3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.215785   .2521142     0.94   0.346     .8097388    1.825444
------------------------------------------------------------------------------
r; t=0.07 4:27:58

. matrix strength_f3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:58

. local strength_f3_race3_se="(" + string(strength_f3_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:58

. local strength_f3_race3_p=strength_f3_race3[3,1]
r; t=0.00 4:27:58

. if `strength_f3_race3_p'<0.001 {
.         local strength_f3_race3_est=string(strength_f3_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f3_race3_p'<0.01 {
.         local strength_f3_race3_est=string(strength_f3_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else if `strength_f3_race3_p'<0.05 {
.         local strength_f3_race3_est=string(strength_f3_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. else {
.         local strength_f3_race3_est=string(strength_f3_race3[1,1], "%3.2f")
r; t=0.00 4:27:58
. }
r; t=0.00 4:27:58

. 
. 
. lincom _b[exe_strength_advice_f3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8889366   .1086485    -0.96   0.335      .699575    1.129555
------------------------------------------------------------------------------
r; t=0.05 4:27:59

. matrix strength_f3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:59

. local strength_f3_race4_se="(" + string(strength_f3_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:59

. local strength_f3_race4_p=strength_f3_race4[3,1]
r; t=0.00 4:27:59

. if `strength_f3_race4_p'<0.001 {
.         local strength_f3_race4_est=string(strength_f3_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else if `strength_f3_race4_p'<0.01 {
.         local strength_f3_race4_est=string(strength_f3_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else if `strength_f3_race4_p'<0.05 {
.         local strength_f3_race4_est=string(strength_f3_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else {
.         local strength_f3_race4_est=string(strength_f3_race4[1,1], "%3.2f")
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. 
. 
. *Test if education explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f3:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.151607     .01728     9.41   0.000     1.118232    1.185978
------------------------------------------------------------------------------
r; t=0.05 4:27:59

. local strength_f13_race0=`r(p)'
r; t=0.00 4:27:59

. 
. lincom _b[exe_strength_advice_f1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f3:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]1.praceethnicgp_multi_sim - [exe_strength_advice_f3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.07788   .0178401     4.53   0.000     1.043475    1.113419
------------------------------------------------------------------------------
r; t=0.05 4:27:59

. local strength_f13_race1=`r(p)'
r; t=0.00 4:27:59

. 
. lincom _b[exe_strength_advice_f1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f3:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]3.praceethnicgp_multi_sim - [exe_strength_advice_f3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.004152    .021873     0.19   0.849     .9621834     1.04795
------------------------------------------------------------------------------
r; t=0.04 4:27:59

. local strength_f13_race3=`r(p)'
r; t=0.00 4:27:59

. 
. lincom _b[exe_strength_advice_f1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f3:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]4.praceethnicgp_multi_sim - [exe_strength_advice_f3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9932854    .014635    -0.46   0.647     .9650116    1.022388
------------------------------------------------------------------------------
r; t=0.04 4:27:59

. local strength_f13_race4=`r(p)'
r; t=0.00 4:27:59

. 
. 
. *Meeting muscle strengthening recommendation among women with two mediators
. lincom _b[exe_strength_advice_f4:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8865062   .1091143    -0.98   0.328     .6964867    1.128368
------------------------------------------------------------------------------
r; t=0.05 4:27:59

. matrix strength_f4_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:59

. local strength_f4_race0_se="(" + string(strength_f4_race0[2,1], "%3.2f") + ")"
r; t=0.00 4:27:59

. local strength_f4_race0_p=strength_f4_race0[3,1]
r; t=0.00 4:27:59

. if `strength_f4_race0_p'<0.001 {
.         local strength_f4_race0_est=string(strength_f4_race0[1,1], "%3.2f") + "***"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else if `strength_f4_race0_p'<0.01 {
.         local strength_f4_race0_est=string(strength_f4_race0[1,1], "%3.2f") + "**"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else if `strength_f4_race0_p'<0.05 {
.         local strength_f4_race0_est=string(strength_f4_race0[1,1], "%3.2f") + "*"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else {
.         local strength_f4_race0_est=string(strength_f4_race0[1,1], "%3.2f")
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. 
. 
. lincom _b[exe_strength_advice_f4:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.038114   .1439543     0.27   0.787     .7910602    1.362324
------------------------------------------------------------------------------
r; t=0.05 4:27:59

. matrix strength_f4_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:59

. local strength_f4_race1_se="(" + string(strength_f4_race1[2,1], "%3.2f") + ")"
r; t=0.00 4:27:59

. local strength_f4_race1_p=strength_f4_race1[3,1]
r; t=0.00 4:27:59

. if `strength_f4_race1_p'<0.001 {
.         local strength_f4_race1_est=string(strength_f4_race1[1,1], "%3.2f") + "***"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else if `strength_f4_race1_p'<0.01 {
.         local strength_f4_race1_est=string(strength_f4_race1[1,1], "%3.2f") + "**"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else if `strength_f4_race1_p'<0.05 {
.         local strength_f4_race1_est=string(strength_f4_race1[1,1], "%3.2f") + "*"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else {
.         local strength_f4_race1_est=string(strength_f4_race1[1,1], "%3.2f")
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. 
. 
. lincom _b[exe_strength_advice_f4:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.230794   .2548221     1.00   0.316     .8202635    1.846789
------------------------------------------------------------------------------
r; t=0.05 4:27:59

. matrix strength_f4_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:59

. local strength_f4_race3_se="(" + string(strength_f4_race3[2,1], "%3.2f") + ")"
r; t=0.00 4:27:59

. local strength_f4_race3_p=strength_f4_race3[3,1]
r; t=0.00 4:27:59

. if `strength_f4_race3_p'<0.001 {
.         local strength_f4_race3_est=string(strength_f4_race3[1,1], "%3.2f") + "***"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else if `strength_f4_race3_p'<0.01 {
.         local strength_f4_race3_est=string(strength_f4_race3[1,1], "%3.2f") + "**"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else if `strength_f4_race3_p'<0.05 {
.         local strength_f4_race3_est=string(strength_f4_race3[1,1], "%3.2f") + "*"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else {
.         local strength_f4_race3_est=string(strength_f4_race3[1,1], "%3.2f")
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. 
. 
. lincom _b[exe_strength_advice_f4:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8547743    .105717    -1.27   0.205      .670774    1.089248
------------------------------------------------------------------------------
r; t=0.05 4:27:59

. matrix strength_f4_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 4:27:59

. local strength_f4_race4_se="(" + string(strength_f4_race4[2,1], "%3.2f") + ")"
r; t=0.00 4:27:59

. local strength_f4_race4_p=strength_f4_race4[3,1]
r; t=0.00 4:27:59

. if `strength_f4_race4_p'<0.001 {
.         local strength_f4_race4_est=string(strength_f4_race4[1,1], "%3.2f") + "***"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else if `strength_f4_race4_p'<0.01 {
.         local strength_f4_race4_est=string(strength_f4_race4[1,1], "%3.2f") + "**"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else if `strength_f4_race4_p'<0.05 {
.         local strength_f4_race4_est=string(strength_f4_race4[1,1], "%3.2f") + "*"
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. else {
.         local strength_f4_race4_est=string(strength_f4_race4[1,1], "%3.2f")
r; t=0.00 4:27:59
. }
r; t=0.00 4:27:59

. 
. 
. *Test if two mediators explains difference between NHPI and each racial/ethnic group
. lincom _b[exe_strength_advice_f1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f4:0.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]0.praceethnicgp_multi_sim - [exe_strength_advice_f4]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.242579   .0244224    11.05   0.000     1.195622     1.29138
------------------------------------------------------------------------------
r; t=0.05 4:27:59

. local strength_f14_race0=`r(p)'
r; t=0.00 4:27:59

. 
. lincom _b[exe_strength_advice_f1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f4:1.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]1.praceethnicgp_multi_sim - [exe_strength_advice_f4]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.165285    .024917     7.15   0.000     1.117458    1.215159
------------------------------------------------------------------------------
r; t=0.05 4:27:59

. local strength_f14_race1=`r(p)'
r; t=0.00 4:27:59

. 
. lincom _b[exe_strength_advice_f1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f4:3.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]3.praceethnicgp_multi_sim - [exe_strength_advice_f4]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9919062   .0287122    -0.28   0.779     .9371979    1.049808
------------------------------------------------------------------------------
r; t=0.05 4:27:59

. local strength_f14_race3=`r(p)'
r; t=0.00 4:27:59

. 
. lincom _b[exe_strength_advice_f1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f4:4.praceethnicgp_multi_sim], efor
> m

 ( 1)  [exe_strength_advice_f1]4.praceethnicgp_multi_sim - [exe_strength_advice_f4]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.032984   .0199971     1.68   0.094      .994524     1.07293
------------------------------------------------------------------------------
r; t=0.05 4:27:59

. local strength_f14_race4=`r(p)'
r; t=0.00 4:27:59

. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 4:27:59

. local strength_f1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f1")]
r; t=0.00 4:27:59

. local strength_f2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f2")]
r; t=0.00 4:27:59

. local strength_f3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f3")]
r; t=0.00 4:27:59

. local strength_f4_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f4")]
r; t=0.00 4:27:59

. 
. 
. 
. /*
> matrix Output=(strength_f1_race0, strength_f2_race0, strength_f12_race0, strength_f3_race0, strength_f13_race0, streng
> th_f4_race0, strength_f14_race0 \ ///
> strength_f1_race1, strength_f2_race1, strength_f12_race1, strength_f3_race1, strength_f13_race1, strength_f4_race1, st
> rength_f14_race1 \ ///
> strength_f1_race3, strength_f2_race3, strength_f12_race3, strength_f3_race3, strength_f13_race3, strength_f4_race3, st
> rength_f14_race3 \ ///
> strength_f1_race4, strength_f2_race4, strength_f12_race4, strength_f3_race4, strength_f13_race4, strength_f4_race4, st
> rength_f14_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.01 4:27:59

. putexcel A1=("") B1=("Estimates without mediators") C1=("Estimates with education mediator") D1=("Wald test with estim
> ates without mediators (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel E1=("Estimates with household income mediator") F1=("Wald test with estimates without mediators (p-value)") G
> 1=("Estimates with two mediators") H1=("Wald test with estimates without mediators (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.03 4:27:59

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.03 4:27:59

. putexcel B2="`strength_f1_race0_est'" B3="`strength_f1_race0_se'" B4="`strength_f1_race1_est'" B5="`strength_f1_race1_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel B6="`strength_f1_race3_est'" B7="`strength_f1_race3_se'" B8="`strength_f1_race4_est'" B9="`strength_f1_race4_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel B10=`strength_f1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel C2="`strength_f2_race0_est'" C3="`strength_f2_race0_se'" C4="`strength_f2_race1_est'" C5="`strength_f2_race1_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel C6="`strength_f2_race3_est'" C7="`strength_f2_race3_se'" C8="`strength_f2_race4_est'" C9="`strength_f2_race4_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel C10=`strength_f2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.03 4:27:59

. putexcel D2=`strength_f12_race0' D4=`strength_f12_race1' D6=`strength_f12_race3' D8=`strength_f12_race4', nformat(0.00
> 0)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel E2="`strength_f3_race0_est'" E3="`strength_f3_race0_se'" E4="`strength_f3_race1_est'" E5="`strength_f3_race1_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel E6="`strength_f3_race3_est'" E7="`strength_f3_race3_se'" E8="`strength_f3_race4_est'" E9="`strength_f3_race4_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel E10=`strength_f3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel F2=`strength_f13_race0' F4=`strength_f13_race1' F6=`strength_f13_race3' F8=`strength_f13_race4', nformat(0.00
> 0)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:27:59

. putexcel G2="`strength_f4_race0_est'" G3="`strength_f4_race0_se'" G4="`strength_f4_race1_est'" G5="`strength_f4_race1_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.03 4:28:00

. putexcel G6="`strength_f4_race3_est'" G7="`strength_f4_race3_se'" G8="`strength_f4_race4_est'" G9="`strength_f4_race4_
> se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.03 4:28:00

. putexcel G10=`strength_f4_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.03 4:28:00

. putexcel H2=`strength_f14_race0' H4=`strength_f14_race1' H6=`strength_f14_race3' H8=`strength_f14_race4', nformat(0.00
> 0)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_f.xlsx saved
r; t=0.02 4:28:00

. putexcel close
r; t=0.00 4:28:00

. **************************************Whether there are any differences in exercises between NHPI and other racial/eth
> nic groups End****************************************************
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. **************************************Whether differences in exercises between NHPI and other racial/ethnic groups var
> y between census regions Start****************************************************
. local mname "exe_med_cr_simb2"
r; t=0.00 4:28:00

. eststo `mname': mi estimate, cmdok post: svy: gsem (exe_aerobic_advice_m_cr0 exe_strength_advice_m_cr0 <- c.yearsold i
> .year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_m_cr1 exe_strength_advice_m_cr1 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_m_cr2 exe_strength_advice_m_cr2 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_m_cr3 exe_strength_advice_m_cr3 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f_cr0 exe_strength_advice_f_cr0 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f_cr1 exe_strength_advice_f_cr1 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f_cr2 exe_strength_advice_f_cr2 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit) ///
> (exe_aerobic_advice_f_cr3 exe_strength_advice_f_cr3 <- c.yearsold i.year ib2.praceethnicgp_multi_sim, ologit)

Multiple-imputation estimates
Survey: Generalized structural equation model

                                              Imputations       =           10
                                              Number of obs     =    1,123,687
Number of strata  =     1,727                 Population size   =  592,373,962
Number of PSUs    = 1,123,687
                                              Average RVI       =       0.0147
                                              Largest FMI       =       0.1567
                                              Complete DF       =      1121960
DF adjustment:   Small sample                 DF:     min       =       387.71
                                                      avg       =   504,302.40
Within VCE type:   Linearized                         max       = 1,121,927.63

--------------------------------------------------------------------------------------------
                           |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_m_cr0   |
                  yearsold |   .0000221   .0004073     0.05   0.957    -.0007761    .0008204
                           |
                      year |
                     2017  |  -.0212073   .0154187    -1.38   0.169    -.0514273    .0090128
                     2019  |   .0992269   .0156447     6.34   0.000     .0685639    .1298899
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .1476508   .1375907     1.07   0.283    -.1221441    .4174457
           1nHwhite_Multi  |  -.0479688   .1506858    -0.32   0.750    -.3433463    .2474086
              3NHPI_Multi  |    .627243   .4244517     1.48   0.140    -.2052502    1.459736
                   4Other  |  -.1462206   .1382286    -1.06   0.290     -.417271    .1248297
---------------------------+----------------------------------------------------------------
exe_strength_advice_m_cr0  |
                  yearsold |  -.0152737   .0004575   -33.38   0.000    -.0161704    -.014377
                           |
                      year |
                     2017  |  -.0187457   .0174561    -1.07   0.283     -.052959    .0154676
                     2019  |   .2703413   .0172288    15.69   0.000     .2365735     .304109
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |  -.2606907      .1448    -1.80   0.072    -.5445982    .0232167
           1nHwhite_Multi  |   -.217382    .160891    -1.35   0.177    -.5328916    .0981277
              3NHPI_Multi  |   .0827803   .5753237     0.14   0.886    -1.044927    1.210487
                   4Other  |  -.1852305   .1456874    -1.27   0.204    -.4708903    .1004294
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_m_cr1   |
                  yearsold |   .0066688   .0008316     8.02   0.000     .0050389    .0082986
                           |
                      year |
                     2017  |  -.0099775   .0316585    -0.32   0.753    -.0720271    .0520721
                     2019  |   .0127265   .0296491     0.43   0.668    -.0453846    .0708377
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |  -.2014308   .1879909    -1.07   0.284    -.5699074    .1670458
           1nHwhite_Multi  |  -.1775996   .2148008    -0.83   0.408    -.5986199    .2434207
              3NHPI_Multi  |  -.6571848   .4224691    -1.56   0.120    -1.485232    .1708623
                   4Other  |  -.6085723   .1886852    -3.23   0.001    -.9784095   -.2387352
---------------------------+----------------------------------------------------------------
exe_strength_advice_m_cr1  |
                  yearsold |  -.0137508   .0009164   -15.01   0.000    -.0155469   -.0119546
                           |
                      year |
                     2017  |   .0210334   .0348376     0.60   0.546    -.0472472     .089314
                     2019  |   .1298466   .0318863     4.07   0.000     .0673505    .1923427
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |  -.3609891   .1890584    -1.91   0.056    -.7315455    .0095672
           1nHwhite_Multi  |  -.0760717   .2232344    -0.34   0.733    -.5136165    .3614732
              3NHPI_Multi  |   .7132535   .4847279     1.47   0.141    -.2368348    1.663342
                   4Other  |  -.4605559   .1902192    -2.42   0.015    -.8333894   -.0877223
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_m_cr2   |
                  yearsold |    .005318    .001902     2.80   0.005     .0015901     .009046
                           |
                      year |
                     2017  |   .0653218   .0717827     0.91   0.363      -.07537    .2060135
                     2019  |  -.0177317    .069978    -0.25   0.800    -.1548862    .1194229
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .3706434   .1347782     2.75   0.006      .106481    .6348058
           1nHwhite_Multi  |  -.1589991   .1679022    -0.95   0.344    -.4880907    .1700925
              3NHPI_Multi  |   .1398581   .1563279     0.89   0.371    -.1665423    .4462585
                   4Other  |  -.1216775   .1290836    -0.94   0.346    -.3746796    .1313245
---------------------------+----------------------------------------------------------------
exe_strength_advice_m_cr2  |
                  yearsold |  -.0163982   .0019688    -8.33   0.000     -.020257   -.0125394
                           |
                      year |
                     2017  |   .2201224   .0755017     2.92   0.004     .0721417    .3681031
                     2019  |   .1857073   .0748432     2.48   0.013     .0390172    .3323974
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .0028042   .1305747     0.02   0.983    -.2531183    .2587268
           1nHwhite_Multi  |  -.1214727   .1784851    -0.68   0.496    -.4713022    .2283568
              3NHPI_Multi  |  -.0761476   .1518919    -0.50   0.616     -.373852    .2215569
                   4Other  |  -.2191579   .1265702    -1.73   0.083    -.4672315    .0289156
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_m_cr3   |
                  yearsold |  -.0127149   .0042672    -2.98   0.003    -.0210786   -.0043513
                           |
                      year |
                     2017  |    -.19864   .1563907    -1.27   0.204    -.5051605    .1078806
                     2019  |  -.1245767   .1508586    -0.83   0.409    -.4202545    .1711011
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .2291367   .1638411     1.40   0.162    -.0920352    .5503087
           1nHwhite_Multi  |   1.237101   .4792964     2.58   0.010     .2976963    2.176506
              3NHPI_Multi  |  -.3633423   .2494286    -1.46   0.145    -.8522166    .1255319
                   4Other  |  -.2471992   .1387827    -1.78   0.075    -.5192109    .0248126
---------------------------+----------------------------------------------------------------
exe_strength_advice_m_cr3  |
                  yearsold |  -.0244403   .0046214    -5.29   0.000     -.033498   -.0153826
                           |
                      year |
                     2017  |  -.1012359   .1610601    -0.63   0.530    -.4169082    .2144363
                     2019  |  -.0044818   .1552113    -0.03   0.977    -.3086907     .299727
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .5408671   .1902615     2.84   0.004     .1678333    .9139008
           1nHwhite_Multi  |   .0171688   .4979374     0.03   0.972    -.9587725    .9931102
              3NHPI_Multi  |   .2393987   .2451871     0.98   0.329    -.2411664    .7199639
                   4Other  |   .0837349   .1483114     0.56   0.572    -.2069616    .3744314
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_f_cr0   |
                  yearsold |  -.0077078   .0003583   -21.51   0.000    -.0084101   -.0070056
                           |
                      year |
                     2017  |   -.034348   .0136443    -2.52   0.012    -.0610904   -.0076056
                     2019  |   .0253258   .0135593     1.87   0.062    -.0012501    .0519016
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .5813899   .1510039     3.85   0.000     .2853735    .8774062
           1nHwhite_Multi  |   .5560731   .1652394     3.37   0.001     .2321362      .88001
              3NHPI_Multi  |   .8269565    .526977     1.57   0.117    -.2059237    1.859837
                   4Other  |   .1566432   .1514223     1.03   0.301     -.140193    .4534793
---------------------------+----------------------------------------------------------------
exe_strength_advice_f_cr0  |
                  yearsold |  -.0094187   .0004307   -21.87   0.000    -.0102629   -.0085745
                           |
                      year |
                     2017  |   .0293999   .0165695     1.77   0.076    -.0030757    .0618756
                     2019  |   .3563405   .0161336    22.09   0.000     .3247192    .3879619
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .0986139   .1688786     0.58   0.560    -.2333941    .4306218
           1nHwhite_Multi  |   .1857165   .1830302     1.01   0.311    -.1737214    .5451543
              3NHPI_Multi  |   1.368593   .6301807     2.17   0.030     .1333841    2.603802
                   4Other  |  -.0506657   .1697077    -0.30   0.765    -.3843264    .2829951
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_f_cr1   |
                  yearsold |   -.001217   .0008498    -1.43   0.152    -.0028826    .0004486
                           |
                      year |
                     2017  |  -.0651777   .0316482    -2.06   0.039    -.1272071   -.0031483
                     2019  |  -.0901618   .0292838    -3.08   0.002     -.147557   -.0327666
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .2229766   .1905052     1.17   0.243    -.1515745    .5975277
           1nHwhite_Multi  |   .1448014   .2165192     0.67   0.504    -.2803324    .5699352
              3NHPI_Multi  |  -.0726471   .5355518    -0.14   0.892     -1.12246    .9771659
                   4Other  |  -.1956962   .1915525    -1.02   0.308    -.5723078    .1809154
---------------------------+----------------------------------------------------------------
exe_strength_advice_f_cr1  |
                  yearsold |  -.0103405   .0009114   -11.35   0.000    -.0121268   -.0085543
                           |
                      year |
                     2017  |   .0633909   .0357862     1.77   0.076    -.0067488    .1335307
                     2019  |   .1745141    .032715     5.33   0.000     .1103937    .2386345
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |  -.0627761   .2332795    -0.27   0.788     -.519999    .3944468
           1nHwhite_Multi  |  -.0133708   .2631643    -0.05   0.959    -.5291832    .5024417
              3NHPI_Multi  |   .7314075   .4789289     1.53   0.127    -.2073478    1.670163
                   4Other  |  -.4254619    .234411    -1.82   0.070     -.884902    .0339783
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_f_cr2   |
                  yearsold |   .0023703   .0018156     1.31   0.192    -.0011881    .0059288
                           |
                      year |
                     2017  |  -.0942862   .0687542    -1.37   0.170    -.2290422    .0404698
                     2019  |  -.0028243   .0681262    -0.04   0.967    -.1363494    .1307009
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .5353787   .1229566     4.35   0.000     .2943866    .7763708
           1nHwhite_Multi  |   .2292731    .158905     1.44   0.149    -.0821756    .5407218
              3NHPI_Multi  |  -.0271604   .1382767    -0.20   0.844    -.2981789    .2438581
                   4Other  |  -.0748652   .1179669    -0.63   0.526    -.3060771    .1563467
---------------------------+----------------------------------------------------------------
exe_strength_advice_f_cr2  |
                  yearsold |  -.0077861   .0019551    -3.98   0.000     -.011618   -.0039541
                           |
                      year |
                     2017  |  -.0050995   .0775698    -0.07   0.948    -.1571337    .1469347
                     2019  |   .3501012   .0755526     4.63   0.000     .2020206    .4981817
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .4633707   .1362144     3.40   0.001      .196388    .7303534
           1nHwhite_Multi  |   .3849804   .1832769     2.10   0.036     .0257585    .7442023
              3NHPI_Multi  |  -.1249236   .1577859    -0.79   0.429    -.4341821    .1843348
                   4Other  |   .0394191    .133262     0.30   0.767    -.2217779    .3006161
---------------------------+----------------------------------------------------------------
exe_aerobic_advice_f_cr3   |
                  yearsold |  -.0025485   .0040211    -0.63   0.526    -.0104297    .0053328
                           |
                      year |
                     2017  |  -.0532399   .1483739    -0.36   0.720    -.3440478     .237568
                     2019  |   .1480112   .1421868     1.04   0.298    -.1306701    .4266926
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .7255554   .2089508     3.47   0.001     .3158219    1.135289
           1nHwhite_Multi  |   .5617348     .36946     1.52   0.129    -.1632505     1.28672
              3NHPI_Multi  |   .4200021   .2088708     2.01   0.044     .0106221     .829382
                   4Other  |   .1350953   .1316448     1.03   0.305    -.1229248    .3931153
---------------------------+----------------------------------------------------------------
exe_strength_advice_f_cr3  |
                  yearsold |  -.0128328   .0046205    -2.78   0.005    -.0218888   -.0037769
                           |
                      year |
                     2017  |   .1154369   .1750211     0.66   0.510    -.2275985    .4584723
                     2019  |   .3480329   .1620125     2.15   0.032     .0304939     .665572
                           |
   praceethnicgp_multi_sim |
          0nHWhite_Single  |   .7945636   .2145282     3.70   0.000     .3740416    1.215086
           1nHwhite_Multi  |   .2612654    .524006     0.50   0.618     -.765783    1.288314
              3NHPI_Multi  |  -.1143296   .2353184    -0.49   0.627    -.5755489    .3468896
                   4Other  |   .1614874   .1563206     1.03   0.302    -.1448976    .4678723
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m_cr0  |
                      cut1 |  -.7555852   .1385449                     -1.027249   -.4839213
                      cut2 |   .0677497   .1385532                     -.2039304    .3394298
---------------------------+----------------------------------------------------------------
/exe_strength_advice_m_cr0 |
                      cut1 |  -.2184325   .1462208                      -.505125      .06826
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m_cr1  |
                      cut1 |  -1.265726   .1912661                      -1.64062   -.8908328
                      cut2 |  -.3275483   .1912219                     -.7023549    .0472584
---------------------------+----------------------------------------------------------------
/exe_strength_advice_m_cr1 |
                      cut1 |  -.3982359   .1932066                      -.776923   -.0195489
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m_cr2  |
                      cut1 |  -.9428294   .1598564                     -1.256143   -.6295159
                      cut2 |  -.0719591   .1615017                     -.3884975    .2445792
---------------------------+----------------------------------------------------------------
/exe_strength_advice_m_cr2 |
                      cut1 |   -.347963   .1612604                     -.6640281   -.0318979
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_m_cr3  |
                      cut1 |  -1.598857   .2611335                      -2.11067   -1.087044
                      cut2 |   -.721852   .2558219                     -1.223254   -.2204497
---------------------------+----------------------------------------------------------------
/exe_strength_advice_m_cr3 |
                      cut1 |  -.5852031   .2609894                     -1.096734   -.0736721
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f_cr0  |
                      cut1 |  -.6744531   .1522138                     -.9728395   -.3760667
                      cut2 |   .1618737   .1521949                     -.1364758    .4602232
---------------------------+----------------------------------------------------------------
/exe_strength_advice_f_cr0 |
                      cut1 |   .7359434   .1702442                      .4012806    1.070606
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f_cr1  |
                      cut1 |  -1.209059   .1947769                     -1.591897   -.8262202
                      cut2 |  -.3096636   .1948444                      -.692632    .0733048
---------------------------+----------------------------------------------------------------
/exe_strength_advice_f_cr1 |
                      cut1 |   .2549449   .2363473                     -.2082902    .7181801
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f_cr2  |
                      cut1 |  -.7373244   .1520201                     -1.035279     -.43937
                      cut2 |   .0312759   .1526984                      -.268008    .3305598
---------------------------+----------------------------------------------------------------
/exe_strength_advice_f_cr2 |
                      cut1 |   .7480129   .1703298                      .4141705    1.081855
---------------------------+----------------------------------------------------------------
/exe_aerobic_advice_f_cr3  |
                      cut1 |  -.4495777   .2269766                      -.894444   -.0047113
                      cut2 |   .3425941   .2247302                     -.0978694    .7830577
---------------------------+----------------------------------------------------------------
/exe_strength_advice_f_cr3 |
                      cut1 |   .8423216   .2755597                       .302234    1.382409
--------------------------------------------------------------------------------------------
Note: Strata with single sampling unit centered at overall mean.
r; t=2436.52 5:08:36

. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among men in Eastern US
. lincom _b[exe_aerobic_advice_m_cr0:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr0]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.159108   .1594825     1.07   0.283     .8851286    1.517894
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. matrix aerobic_m_cr0_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr0_race0_se="(" + string(aerobic_m_cr0_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr0_race0_p=aerobic_m_cr0_race0[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr0_race0_p'<0.001 {
.         local aerobic_m_cr0_race0_est=string(aerobic_m_cr0_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr0_race0_p'<0.01 {
.         local aerobic_m_cr0_race0_est=string(aerobic_m_cr0_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr0_race0_p'<0.05 {
.         local aerobic_m_cr0_race0_est=string(aerobic_m_cr0_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr0_race0_est=string(aerobic_m_cr0_race0[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr0:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr0]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9531635   .1436282    -0.32   0.750     .7094197    1.280653
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. matrix aerobic_m_cr0_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr0_race1_se="(" + string(aerobic_m_cr0_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr0_race1_p=aerobic_m_cr0_race1[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr0_race1_p'<0.001 {
.         local aerobic_m_cr0_race1_est=string(aerobic_m_cr0_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr0_race1_p'<0.01 {
.         local aerobic_m_cr0_race1_est=string(aerobic_m_cr0_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr0_race1_p'<0.05 {
.         local aerobic_m_cr0_race1_est=string(aerobic_m_cr0_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr0_race1_est=string(aerobic_m_cr0_race1[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr0:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr0]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.872441   .7947609     1.48   0.139     .8149178    4.302318
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. matrix aerobic_m_cr0_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr0_race3_se="(" + string(aerobic_m_cr0_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr0_race3_p=aerobic_m_cr0_race3[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr0_race3_p'<0.001 {
.         local aerobic_m_cr0_race3_est=string(aerobic_m_cr0_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr0_race3_p'<0.01 {
.         local aerobic_m_cr0_race3_est=string(aerobic_m_cr0_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr0_race3_p'<0.05 {
.         local aerobic_m_cr0_race3_est=string(aerobic_m_cr0_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr0_race3_est=string(aerobic_m_cr0_race3[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr0:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr0]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8639671   .1194249    -1.06   0.290     .6589261    1.132812
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. matrix aerobic_m_cr0_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr0_race4_se="(" + string(aerobic_m_cr0_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr0_race4_p=aerobic_m_cr0_race4[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr0_race4_p'<0.001 {
.         local aerobic_m_cr0_race4_est=string(aerobic_m_cr0_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr0_race4_p'<0.01 {
.         local aerobic_m_cr0_race4_est=string(aerobic_m_cr0_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr0_race4_p'<0.05 {
.         local aerobic_m_cr0_race4_est=string(aerobic_m_cr0_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr0_race4_est=string(aerobic_m_cr0_race4[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among men in Western US
. lincom _b[exe_aerobic_advice_m_cr1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8175601   .1536938    -1.07   0.284     .5655896    1.181784
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. matrix aerobic_m_cr1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr1_race0_se="(" + string(aerobic_m_cr1_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr1_race0_p=aerobic_m_cr1_race0[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr1_race0_p'<0.001 {
.         local aerobic_m_cr1_race0_est=string(aerobic_m_cr1_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr1_race0_p'<0.01 {
.         local aerobic_m_cr1_race0_est=string(aerobic_m_cr1_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr1_race0_p'<0.05 {
.         local aerobic_m_cr1_race0_est=string(aerobic_m_cr1_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr1_race0_est=string(aerobic_m_cr1_race0[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8372776   .1798479    -0.83   0.408     .5495795    1.275582
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. matrix aerobic_m_cr1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr1_race1_se="(" + string(aerobic_m_cr1_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr1_race1_p=aerobic_m_cr1_race1[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr1_race1_p'<0.001 {
.         local aerobic_m_cr1_race1_est=string(aerobic_m_cr1_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr1_race1_p'<0.01 {
.         local aerobic_m_cr1_race1_est=string(aerobic_m_cr1_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr1_race1_p'<0.05 {
.         local aerobic_m_cr1_race1_est=string(aerobic_m_cr1_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr1_race1_est=string(aerobic_m_cr1_race1[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5183084   .2189693    -1.56   0.120     .2264548    1.186301
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. matrix aerobic_m_cr1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr1_race3_se="(" + string(aerobic_m_cr1_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr1_race3_p=aerobic_m_cr1_race3[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr1_race3_p'<0.001 {
.         local aerobic_m_cr1_race3_est=string(aerobic_m_cr1_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr1_race3_p'<0.01 {
.         local aerobic_m_cr1_race3_est=string(aerobic_m_cr1_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr1_race3_p'<0.05 {
.         local aerobic_m_cr1_race3_est=string(aerobic_m_cr1_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr1_race3_est=string(aerobic_m_cr1_race3[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5441272   .1026687    -3.23   0.001     .3759163    .7876073
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. matrix aerobic_m_cr1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr1_race4_se="(" + string(aerobic_m_cr1_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr1_race4_p=aerobic_m_cr1_race4[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr1_race4_p'<0.001 {
.         local aerobic_m_cr1_race4_est=string(aerobic_m_cr1_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr1_race4_p'<0.01 {
.         local aerobic_m_cr1_race4_est=string(aerobic_m_cr1_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr1_race4_p'<0.05 {
.         local aerobic_m_cr1_race4_est=string(aerobic_m_cr1_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr1_race4_est=string(aerobic_m_cr1_race4[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among men in Hawaii
. lincom _b[exe_aerobic_advice_m_cr2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.448666   .1952486     2.75   0.006     1.112359    1.886652
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. matrix aerobic_m_cr2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr2_race0_se="(" + string(aerobic_m_cr2_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr2_race0_p=aerobic_m_cr2_race0[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr2_race0_p'<0.001 {
.         local aerobic_m_cr2_race0_est=string(aerobic_m_cr2_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr2_race0_p'<0.01 {
.         local aerobic_m_cr2_race0_est=string(aerobic_m_cr2_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr2_race0_p'<0.05 {
.         local aerobic_m_cr2_race0_est=string(aerobic_m_cr2_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr2_race0_est=string(aerobic_m_cr2_race0[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8529971   .1432201    -0.95   0.344     .6138027    1.185404
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. matrix aerobic_m_cr2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr2_race1_se="(" + string(aerobic_m_cr2_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr2_race1_p=aerobic_m_cr2_race1[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr2_race1_p'<0.001 {
.         local aerobic_m_cr2_race1_est=string(aerobic_m_cr2_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr2_race1_p'<0.01 {
.         local aerobic_m_cr2_race1_est=string(aerobic_m_cr2_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr2_race1_p'<0.05 {
.         local aerobic_m_cr2_race1_est=string(aerobic_m_cr2_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr2_race1_est=string(aerobic_m_cr2_race1[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.150111   .1797944     0.89   0.371     .8465895    1.562451
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. matrix aerobic_m_cr2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr2_race3_se="(" + string(aerobic_m_cr2_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr2_race3_p=aerobic_m_cr2_race3[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr2_race3_p'<0.001 {
.         local aerobic_m_cr2_race3_est=string(aerobic_m_cr2_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr2_race3_p'<0.01 {
.         local aerobic_m_cr2_race3_est=string(aerobic_m_cr2_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr2_race3_p'<0.05 {
.         local aerobic_m_cr2_race3_est=string(aerobic_m_cr2_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr2_race3_est=string(aerobic_m_cr2_race3[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8854338    .114295    -0.94   0.346     .6875113    1.140335
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. matrix aerobic_m_cr2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr2_race4_se="(" + string(aerobic_m_cr2_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr2_race4_p=aerobic_m_cr2_race4[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr2_race4_p'<0.001 {
.         local aerobic_m_cr2_race4_est=string(aerobic_m_cr2_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr2_race4_p'<0.01 {
.         local aerobic_m_cr2_race4_est=string(aerobic_m_cr2_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr2_race4_p'<0.05 {
.         local aerobic_m_cr2_race4_est=string(aerobic_m_cr2_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr2_race4_est=string(aerobic_m_cr2_race4[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among men in Guam
. lincom _b[exe_aerobic_advice_m_cr3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.257514   .2060324     1.40   0.162     .9121177    1.733703
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. matrix aerobic_m_cr3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr3_race0_se="(" + string(aerobic_m_cr3_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr3_race0_p=aerobic_m_cr3_race0[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr3_race0_p'<0.001 {
.         local aerobic_m_cr3_race0_est=string(aerobic_m_cr3_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr3_race0_p'<0.01 {
.         local aerobic_m_cr3_race0_est=string(aerobic_m_cr3_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr3_race0_p'<0.05 {
.         local aerobic_m_cr3_race0_est=string(aerobic_m_cr3_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr3_race0_est=string(aerobic_m_cr3_race0[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    3.44561   1.651469     2.58   0.010     1.346753    8.815449
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. matrix aerobic_m_cr3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr3_race1_se="(" + string(aerobic_m_cr3_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr3_race1_p=aerobic_m_cr3_race1[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr3_race1_p'<0.001 {
.         local aerobic_m_cr3_race1_est=string(aerobic_m_cr3_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr3_race1_p'<0.01 {
.         local aerobic_m_cr3_race1_est=string(aerobic_m_cr3_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr3_race1_p'<0.05 {
.         local aerobic_m_cr3_race1_est=string(aerobic_m_cr3_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr3_race1_est=string(aerobic_m_cr3_race1[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6953484   .1734398    -1.46   0.145     .4264697    1.133748
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. matrix aerobic_m_cr3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr3_race3_se="(" + string(aerobic_m_cr3_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr3_race3_p=aerobic_m_cr3_race3[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr3_race3_p'<0.001 {
.         local aerobic_m_cr3_race3_est=string(aerobic_m_cr3_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr3_race3_p'<0.01 {
.         local aerobic_m_cr3_race3_est=string(aerobic_m_cr3_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr3_race3_p'<0.05 {
.         local aerobic_m_cr3_race3_est=string(aerobic_m_cr3_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr3_race3_est=string(aerobic_m_cr3_race3[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. 
. lincom _b[exe_aerobic_advice_m_cr3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7809851   .1083873    -1.78   0.075     .5949912    1.025121
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. matrix aerobic_m_cr3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:36

. local aerobic_m_cr3_race4_se="(" + string(aerobic_m_cr3_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:36

. local aerobic_m_cr3_race4_p=aerobic_m_cr3_race4[3,1]
r; t=0.00 5:08:36

. if `aerobic_m_cr3_race4_p'<0.001 {
.         local aerobic_m_cr3_race4_est=string(aerobic_m_cr3_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr3_race4_p'<0.01 {
.         local aerobic_m_cr3_race4_est=string(aerobic_m_cr3_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else if `aerobic_m_cr3_race4_p'<0.05 {
.         local aerobic_m_cr3_race4_est=string(aerobic_m_cr3_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. else {
.         local aerobic_m_cr3_race4_est=string(aerobic_m_cr3_race4[1,1], "%3.2f")
r; t=0.00 5:08:36
. }
r; t=0.00 5:08:36

. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Guam and other census regions
. lincom _b[exe_aerobic_advice_m_cr0:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9217457   .1980262    -0.38   0.704     .6049789    1.404371
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. local aerobic_m_cr03_race0=`r(p)'
r; t=0.00 5:08:36

. 
. lincom _b[exe_aerobic_advice_m_cr0:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .2766313   .1389833    -2.56   0.011     .1033345    .7405544
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. local aerobic_m_cr03_race1=`r(p)'
r; t=0.00 5:08:36

. 
. lincom _b[exe_aerobic_advice_m_cr0:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    2.69281   1.318652     2.02   0.043     1.031282    7.031276
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. local aerobic_m_cr03_race3=`r(p)'
r; t=0.00 5:08:36

. 
. lincom _b[exe_aerobic_advice_m_cr0:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.106253   .2155919     0.52   0.604     .7550366    1.620843
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. local aerobic_m_cr03_race4=`r(p)'
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |     .65014   .1615567    -1.73   0.083     .3994727      1.0581
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. local aerobic_m_cr13_race0=`r(p)'
r; t=0.00 5:08:36

. 
. lincom _b[exe_aerobic_advice_m_cr1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .2429984   .1276563    -2.69   0.007     .0867829    .6804129
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. local aerobic_m_cr13_race1=`r(p)'
r; t=0.00 5:08:36

. 
. lincom _b[exe_aerobic_advice_m_cr1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7453939   .3664854    -0.60   0.550     .2843661    1.953862
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. local aerobic_m_cr13_race3=`r(p)'
r; t=0.00 5:08:36

. 
. lincom _b[exe_aerobic_advice_m_cr1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .696719   .1637294    -1.54   0.124     .4395665    1.104309
------------------------------------------------------------------------------
r; t=0.02 5:08:36

. local aerobic_m_cr13_race4=`r(p)'
r; t=0.00 5:08:36

. 
. 
. lincom _b[exe_aerobic_advice_m_cr2:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr2]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.152008   .2448358     0.67   0.506     .7595387    1.747275
------------------------------------------------------------------------------
r; t=0.01 5:08:36

. local aerobic_m_cr23_race0=`r(p)'
r; t=0.00 5:08:36

. 
. lincom _b[exe_aerobic_advice_m_cr2:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr2]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .2475605   .1257033    -2.75   0.006     .0915099    .6697223
------------------------------------------------------------------------------
r; t=0.01 5:08:37

. local aerobic_m_cr23_race1=`r(p)'
r; t=0.00 5:08:37

. 
. lincom _b[exe_aerobic_advice_m_cr2:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr2]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.654006   .4866311     1.71   0.087     .9291843    2.944235
------------------------------------------------------------------------------
r; t=0.02 5:08:37

. local aerobic_m_cr23_race3=`r(p)'
r; t=0.00 5:08:37

. 
. lincom _b[exe_aerobic_advice_m_cr2:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr2]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.13374   .2148397     0.66   0.508     .7820121    1.643665
------------------------------------------------------------------------------
r; t=0.01 5:08:37

. local aerobic_m_cr23_race4=`r(p)'
r; t=0.00 5:08:37

. 
. 
. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 5:08:37

. local aerobic_m_cr0_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m_cr0")]
r; t=0.00 5:08:37

. local aerobic_m_cr1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m_cr1")]
r; t=0.00 5:08:37

. local aerobic_m_cr2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m_cr2")]
r; t=0.00 5:08:37

. local aerobic_m_cr3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_m_cr3")]
r; t=0.00 5:08:37

. 
. /*
> matrix Output=(aerobic_m_cr0_race0, aerobic_m_cr03_race0, aerobic_m_cr1_race0, aerobic_m_cr13_race0, aerobic_m_cr2_rac
> e0, aerobic_m_cr23_race0, aerobic_m_cr3_race0 \ ///
> aerobic_m_cr0_race1, aerobic_m_cr03_race1, aerobic_m_cr1_race1, aerobic_m_cr13_race1, aerobic_m_cr2_race1, aerobic_m_c
> r23_race1, aerobic_m_cr3_race1 \ ///
> aerobic_m_cr0_race3, aerobic_m_cr03_race3, aerobic_m_cr1_race3, aerobic_m_cr13_race3, aerobic_m_cr2_race3, aerobic_m_c
> r23_race3, aerobic_m_cr3_race3 \ ///
> aerobic_m_cr0_race4, aerobic_m_cr03_race4, aerobic_m_cr1_race4, aerobic_m_cr13_race4, aerobic_m_cr2_race4, aerobic_m_c
> r23_race4, aerobic_m_cr3_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.01 5:08:37

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Guam estimates (p-value)") D1=("Esti
> mates in West coast") E1=("Wald test with corresponding Guam estimates (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel F1=("Estimates in Hawaii") G1=("Wald test with corresponding Guam estimates (p-value)") H1=("Estimates in Gua
> m")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.03 5:08:37

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel B2="`aerobic_m_cr0_race0_est'" B3="`aerobic_m_cr0_race0_se'" B4="`aerobic_m_cr0_race1_est'" B5="`aerobic_m_cr
> 0_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel B6="`aerobic_m_cr0_race3_est'" B7="`aerobic_m_cr0_race3_se'" B8="`aerobic_m_cr0_race4_est'" B9="`aerobic_m_cr
> 0_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel B10=`aerobic_m_cr0_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel C2=`aerobic_m_cr03_race0' C4=`aerobic_m_cr03_race1' C6=`aerobic_m_cr03_race3' C8=`aerobic_m_cr03_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel D2="`aerobic_m_cr1_race0_est'" D3="`aerobic_m_cr1_race0_se'" D4="`aerobic_m_cr1_race1_est'" D5="`aerobic_m_cr
> 1_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel D6="`aerobic_m_cr1_race3_est'" D7="`aerobic_m_cr1_race3_se'" D8="`aerobic_m_cr1_race4_est'" D9="`aerobic_m_cr
> 1_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel D10=`aerobic_m_cr1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel E2=`aerobic_m_cr13_race0' E4=`aerobic_m_cr13_race1' E6=`aerobic_m_cr13_race3' E8=`aerobic_m_cr13_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.03 5:08:37

. putexcel F2="`aerobic_m_cr2_race0_est'" F3="`aerobic_m_cr2_race0_se'" F4="`aerobic_m_cr2_race1_est'" F5="`aerobic_m_cr
> 2_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel F6="`aerobic_m_cr2_race3_est'" F7="`aerobic_m_cr2_race3_se'" F8="`aerobic_m_cr2_race4_est'" F9="`aerobic_m_cr
> 2_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel F10=`aerobic_m_cr2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel G2=`aerobic_m_cr23_race0' G4=`aerobic_m_cr23_race1' G6=`aerobic_m_cr23_race3' G8=`aerobic_m_cr23_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel H2="`aerobic_m_cr3_race0_est'" H3="`aerobic_m_cr3_race0_se'" H4="`aerobic_m_cr3_race1_est'" H5="`aerobic_m_cr
> 3_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel H6="`aerobic_m_cr3_race3_est'" H7="`aerobic_m_cr3_race3_se'" H8="`aerobic_m_cr3_race4_est'" H9="`aerobic_m_cr
> 3_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:37

. putexcel H10=`aerobic_m_cr3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_m.xlsx saved
r; t=0.03 5:08:37

. putexcel close
r; t=0.00 5:08:37

. 
. 
. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Hawaii and other census regions
. lincom _b[exe_aerobic_advice_m_cr0:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8001208   .1534075    -1.16   0.245     .5494829    1.165083
------------------------------------------------------------------------------
r; t=0.01 5:08:37

. local aerobic_m_cr02_race0=`r(p)'
r; t=0.00 5:08:37

. 
. lincom _b[exe_aerobic_advice_m_cr0:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.117429   .2512547     0.49   0.621     .7191612    1.736254
------------------------------------------------------------------------------
r; t=0.02 5:08:37

. local aerobic_m_cr02_race1=`r(p)'
r; t=0.00 5:08:37

. 
. lincom _b[exe_aerobic_advice_m_cr0:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.628053   .7367685     1.08   0.281     .6705954    3.952543
------------------------------------------------------------------------------
r; t=0.01 5:08:37

. local aerobic_m_cr02_race3=`r(p)'
r; t=0.00 5:08:37

. 
. lincom _b[exe_aerobic_advice_m_cr0:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr0]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9757556   .1839309    -0.13   0.896      .674355    1.411866
------------------------------------------------------------------------------
r; t=0.03 5:08:37

. local aerobic_m_cr02_race4=`r(p)'
r; t=0.00 5:08:37

. 
. 
. lincom _b[exe_aerobic_advice_m_cr1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5643536   .1306067    -2.47   0.013     .3585586    .8882651
------------------------------------------------------------------------------
r; t=0.01 5:08:37

. local aerobic_m_cr12_race0=`r(p)'
r; t=0.00 5:08:37

. 
. lincom _b[exe_aerobic_advice_m_cr1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9815714   .2685582    -0.07   0.946     .5741597    1.678074
------------------------------------------------------------------------------
r; t=0.02 5:08:37

. local aerobic_m_cr12_race1=`r(p)'
r; t=0.00 5:08:37

. 
. lincom _b[exe_aerobic_advice_m_cr1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .4506596   .2030169    -1.77   0.077     .1863768    1.089696
------------------------------------------------------------------------------
r; t=0.02 5:08:37

. local aerobic_m_cr12_race3=`r(p)'
r; t=0.00 5:08:37

. 
. lincom _b[exe_aerobic_advice_m_cr1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_m_cr1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6145317   .1408657    -2.12   0.034      .392128    .9630762
------------------------------------------------------------------------------
r; t=0.01 5:08:37

. local aerobic_m_cr12_race4=`r(p)'
r; t=0.00 5:08:37

. 
. 
. lincom _b[exe_aerobic_advice_m_cr3:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_m_cr2]0.praceethnicgp_multi_sim + [exe_aerobic_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8680494   .1844861    -0.67   0.506     .5723198    1.316589
------------------------------------------------------------------------------
r; t=0.02 5:08:37

. local aerobic_m_cr32_race0=`r(p)'
r; t=0.00 5:08:37

. 
. lincom _b[exe_aerobic_advice_m_cr3:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_m_cr2]1.praceethnicgp_multi_sim + [exe_aerobic_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   4.039416   2.051086     2.75   0.006     1.493156    10.92778
------------------------------------------------------------------------------
r; t=0.01 5:08:37

. local aerobic_m_cr32_race1=`r(p)'
r; t=0.00 5:08:37

. 
. lincom _b[exe_aerobic_advice_m_cr3:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_m_cr2]3.praceethnicgp_multi_sim + [exe_aerobic_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6045926   .1778793    -1.71   0.087     .3396468    1.076213
------------------------------------------------------------------------------
r; t=0.02 5:08:37

. local aerobic_m_cr32_race3=`r(p)'
r; t=0.00 5:08:37

. 
. lincom _b[exe_aerobic_advice_m_cr3:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_m_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_m_cr2]4.praceethnicgp_multi_sim + [exe_aerobic_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8820367   .1671429    -0.66   0.508     .6083966    1.278753
------------------------------------------------------------------------------
r; t=0.01 5:08:37

. local aerobic_m_cr32_race4=`r(p)'
r; t=0.00 5:08:37

. 
. 
. /*
> matrix Output=(aerobic_m_cr0_race0, aerobic_m_cr02_race0, aerobic_m_cr1_race0, aerobic_m_cr12_race0, aerobic_m_cr2_rac
> e0, aerobic_m_cr3_race0, aerobic_m_cr32_race0 \ ///
> aerobic_m_cr0_race1, aerobic_m_cr02_race1, aerobic_m_cr1_race1, aerobic_m_cr12_race1, aerobic_m_cr2_race1, aerobic_m_c
> r3_race1, aerobic_m_cr32_race1 \ ///
> aerobic_m_cr0_race3, aerobic_m_cr02_race3, aerobic_m_cr1_race3, aerobic_m_cr12_race3, aerobic_m_cr2_race3, aerobic_m_c
> r3_race3, aerobic_m_cr32_race3 \ ///
> aerobic_m_cr0_race4, aerobic_m_cr02_race4, aerobic_m_cr1_race4, aerobic_m_cr12_race4, aerobic_m_cr2_race4, aerobic_m_c
> r3_race4, aerobic_m_cr32_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 5:08:37

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Hawaii estimates (p-value)") D1=("Es
> timates in West coast") E1=("Wald test with corresponding Hawaii estimates (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:37

. putexcel F1=("Estimates in Hawaii") G1=("Estimates in Guam") H1=("Wald test with corresponding Hawaii estimates (p-val
> ue)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.01 5:08:37

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:37

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:37

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 5:08:37

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:37

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:37

. putexcel B2="`aerobic_m_cr0_race0_est'" B3="`aerobic_m_cr0_race0_se'" B4="`aerobic_m_cr0_race1_est'" B5="`aerobic_m_cr
> 0_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:37

. putexcel B6="`aerobic_m_cr0_race3_est'" B7="`aerobic_m_cr0_race3_se'" B8="`aerobic_m_cr0_race4_est'" B9="`aerobic_m_cr
> 0_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:37

. putexcel B10=`aerobic_m_cr0_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:37

. putexcel C2=`aerobic_m_cr02_race0' C4=`aerobic_m_cr02_race1' C6=`aerobic_m_cr02_race3' C8=`aerobic_m_cr02_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 5:08:37

. putexcel D2="`aerobic_m_cr1_race0_est'" D3="`aerobic_m_cr1_race0_se'" D4="`aerobic_m_cr1_race1_est'" D5="`aerobic_m_cr
> 1_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.01 5:08:37

. putexcel D6="`aerobic_m_cr1_race3_est'" D7="`aerobic_m_cr1_race3_se'" D8="`aerobic_m_cr1_race4_est'" D9="`aerobic_m_cr
> 1_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:37

. putexcel D10=`aerobic_m_cr1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:37

. putexcel E2=`aerobic_m_cr12_race0' E4=`aerobic_m_cr12_race1' E6=`aerobic_m_cr12_race3' E8=`aerobic_m_cr12_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:37

. putexcel F2="`aerobic_m_cr2_race0_est'" F3="`aerobic_m_cr2_race0_se'" F4="`aerobic_m_cr2_race1_est'" F5="`aerobic_m_cr
> 2_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 5:08:38

. putexcel F6="`aerobic_m_cr2_race3_est'" F7="`aerobic_m_cr2_race3_se'" F8="`aerobic_m_cr2_race4_est'" F9="`aerobic_m_cr
> 2_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:38

. putexcel F10=`aerobic_m_cr2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:38

. putexcel G2="`aerobic_m_cr3_race0_est'" G3="`aerobic_m_cr3_race0_se'" G4="`aerobic_m_cr3_race1_est'" G5="`aerobic_m_cr
> 3_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 5:08:38

. putexcel G6="`aerobic_m_cr3_race3_est'" G7="`aerobic_m_cr3_race3_se'" G8="`aerobic_m_cr3_race4_est'" G9="`aerobic_m_cr
> 3_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:38

. putexcel G10=`aerobic_m_cr3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 5:08:38

. putexcel H2=`aerobic_m_cr32_race0' H4=`aerobic_m_cr32_race1' H6=`aerobic_m_cr32_race3' H8=`aerobic_m_cr32_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_m.xlsx saved
r; t=0.03 5:08:38

. putexcel close
r; t=0.00 5:08:38

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among men in Eastern US
. lincom _b[exe_strength_advice_m_cr0:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr0]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7705192   .1115712    -1.80   0.072     .5801353    1.023382
------------------------------------------------------------------------------
r; t=0.03 5:08:38

. matrix strength_m_cr0_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr0_race0_se="(" + string(strength_m_cr0_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr0_race0_p=strength_m_cr0_race0[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr0_race0_p'<0.001 {
.         local strength_m_cr0_race0_est=string(strength_m_cr0_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr0_race0_p'<0.01 {
.         local strength_m_cr0_race0_est=string(strength_m_cr0_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr0_race0_p'<0.05 {
.         local strength_m_cr0_race0_est=string(strength_m_cr0_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr0_race0_est=string(strength_m_cr0_race0[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr0:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr0]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8046226   .1294566    -1.35   0.177     .5870044    1.102918
------------------------------------------------------------------------------
r; t=0.02 5:08:38

. matrix strength_m_cr0_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr0_race1_se="(" + string(strength_m_cr0_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr0_race1_p=strength_m_cr0_race1[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr0_race1_p'<0.001 {
.         local strength_m_cr0_race1_est=string(strength_m_cr0_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr0_race1_p'<0.01 {
.         local strength_m_cr0_race1_est=string(strength_m_cr0_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr0_race1_p'<0.05 {
.         local strength_m_cr0_race1_est=string(strength_m_cr0_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr0_race1_est=string(strength_m_cr0_race1[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr0:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr0]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.086303   .6249759     0.14   0.886       .35175     3.35481
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. matrix strength_m_cr0_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr0_race3_se="(" + string(strength_m_cr0_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr0_race3_p=strength_m_cr0_race3[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr0_race3_p'<0.001 {
.         local strength_m_cr0_race3_est=string(strength_m_cr0_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr0_race3_p'<0.01 {
.         local strength_m_cr0_race3_est=string(strength_m_cr0_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr0_race3_p'<0.05 {
.         local strength_m_cr0_race3_est=string(strength_m_cr0_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr0_race3_est=string(strength_m_cr0_race3[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr0:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr0]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8309127   .1210535    -1.27   0.204     .6245194    1.105516
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. matrix strength_m_cr0_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr0_race4_se="(" + string(strength_m_cr0_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr0_race4_p=strength_m_cr0_race4[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr0_race4_p'<0.001 {
.         local strength_m_cr0_race4_est=string(strength_m_cr0_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr0_race4_p'<0.01 {
.         local strength_m_cr0_race4_est=string(strength_m_cr0_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr0_race4_p'<0.05 {
.         local strength_m_cr0_race4_est=string(strength_m_cr0_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr0_race4_est=string(strength_m_cr0_race4[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among men in Western US
. lincom _b[exe_strength_advice_m_cr1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6969866   .1317712    -1.91   0.056     .4811688    1.009605
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. matrix strength_m_cr1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr1_race0_se="(" + string(strength_m_cr1_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr1_race0_p=strength_m_cr1_race0[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr1_race0_p'<0.001 {
.         local strength_m_cr1_race0_est=string(strength_m_cr1_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr1_race0_p'<0.01 {
.         local strength_m_cr1_race0_est=string(strength_m_cr1_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr1_race0_p'<0.05 {
.         local strength_m_cr1_race0_est=string(strength_m_cr1_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr1_race0_est=string(strength_m_cr1_race0[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9267498   .2068825    -0.34   0.733     .5983355    1.435424
------------------------------------------------------------------------------
r; t=0.03 5:08:38

. matrix strength_m_cr1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr1_race1_se="(" + string(strength_m_cr1_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr1_race1_p=strength_m_cr1_race1[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr1_race1_p'<0.001 {
.         local strength_m_cr1_race1_est=string(strength_m_cr1_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr1_race1_p'<0.01 {
.         local strength_m_cr1_race1_est=string(strength_m_cr1_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr1_race1_p'<0.05 {
.         local strength_m_cr1_race1_est=string(strength_m_cr1_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr1_race1_est=string(strength_m_cr1_race1[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    2.04062   .9891453     1.47   0.141     .7891517    5.276715
------------------------------------------------------------------------------
r; t=0.02 5:08:38

. matrix strength_m_cr1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr1_race3_se="(" + string(strength_m_cr1_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr1_race3_p=strength_m_cr1_race3[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr1_race3_p'<0.001 {
.         local strength_m_cr1_race3_est=string(strength_m_cr1_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr1_race3_p'<0.01 {
.         local strength_m_cr1_race3_est=string(strength_m_cr1_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr1_race3_p'<0.05 {
.         local strength_m_cr1_race3_est=string(strength_m_cr1_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr1_race3_est=string(strength_m_cr1_race3[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6309328   .1200156    -2.42   0.015     .4345783    .9160058
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. matrix strength_m_cr1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr1_race4_se="(" + string(strength_m_cr1_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr1_race4_p=strength_m_cr1_race4[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr1_race4_p'<0.001 {
.         local strength_m_cr1_race4_est=string(strength_m_cr1_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr1_race4_p'<0.01 {
.         local strength_m_cr1_race4_est=string(strength_m_cr1_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr1_race4_p'<0.05 {
.         local strength_m_cr1_race4_est=string(strength_m_cr1_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr1_race4_est=string(strength_m_cr1_race4[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among men in Hawaii
. lincom _b[exe_strength_advice_m_cr2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.002808   .1309414     0.02   0.983     .7763764    1.295279
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. matrix strength_m_cr2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr2_race0_se="(" + string(strength_m_cr2_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr2_race0_p=strength_m_cr2_race0[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr2_race0_p'<0.001 {
.         local strength_m_cr2_race0_est=string(strength_m_cr2_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr2_race0_p'<0.01 {
.         local strength_m_cr2_race0_est=string(strength_m_cr2_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr2_race0_p'<0.05 {
.         local strength_m_cr2_race0_est=string(strength_m_cr2_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr2_race0_est=string(strength_m_cr2_race0[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8856152   .1580691    -0.68   0.496     .6241919    1.256528
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. matrix strength_m_cr2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr2_race1_se="(" + string(strength_m_cr2_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr2_race1_p=strength_m_cr2_race1[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr2_race1_p'<0.001 {
.         local strength_m_cr2_race1_est=string(strength_m_cr2_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr2_race1_p'<0.01 {
.         local strength_m_cr2_race1_est=string(strength_m_cr2_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr2_race1_p'<0.05 {
.         local strength_m_cr2_race1_est=string(strength_m_cr2_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr2_race1_est=string(strength_m_cr2_race1[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9266795   .1407551    -0.50   0.616     .6880798    1.248016
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. matrix strength_m_cr2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr2_race3_se="(" + string(strength_m_cr2_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr2_race3_p=strength_m_cr2_race3[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr2_race3_p'<0.001 {
.         local strength_m_cr2_race3_est=string(strength_m_cr2_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr2_race3_p'<0.01 {
.         local strength_m_cr2_race3_est=string(strength_m_cr2_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr2_race3_p'<0.05 {
.         local strength_m_cr2_race3_est=string(strength_m_cr2_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr2_race3_est=string(strength_m_cr2_race3[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8031948   .1016605    -1.73   0.083     .6267351    1.029337
------------------------------------------------------------------------------
r; t=0.02 5:08:38

. matrix strength_m_cr2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr2_race4_se="(" + string(strength_m_cr2_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr2_race4_p=strength_m_cr2_race4[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr2_race4_p'<0.001 {
.         local strength_m_cr2_race4_est=string(strength_m_cr2_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr2_race4_p'<0.01 {
.         local strength_m_cr2_race4_est=string(strength_m_cr2_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr2_race4_p'<0.05 {
.         local strength_m_cr2_race4_est=string(strength_m_cr2_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr2_race4_est=string(strength_m_cr2_race4[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among men in Guam
. lincom _b[exe_strength_advice_m_cr3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.717495   .3267732     2.84   0.004      1.18289    2.493714
------------------------------------------------------------------------------
r; t=0.02 5:08:38

. matrix strength_m_cr3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr3_race0_se="(" + string(strength_m_cr3_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr3_race0_p=strength_m_cr3_race0[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr3_race0_p'<0.001 {
.         local strength_m_cr3_race0_est=string(strength_m_cr3_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr3_race0_p'<0.01 {
.         local strength_m_cr3_race0_est=string(strength_m_cr3_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr3_race0_p'<0.05 {
.         local strength_m_cr3_race0_est=string(strength_m_cr3_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr3_race0_est=string(strength_m_cr3_race0[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.017317   .5065603     0.03   0.972     .3833635    2.699615
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. matrix strength_m_cr3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr3_race1_se="(" + string(strength_m_cr3_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr3_race1_p=strength_m_cr3_race1[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr3_race1_p'<0.001 {
.         local strength_m_cr3_race1_est=string(strength_m_cr3_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr3_race1_p'<0.01 {
.         local strength_m_cr3_race1_est=string(strength_m_cr3_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr3_race1_p'<0.05 {
.         local strength_m_cr3_race1_est=string(strength_m_cr3_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr3_race1_est=string(strength_m_cr3_race1[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. 
. lincom _b[exe_strength_advice_m_cr3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.270485   .3115065     0.98   0.329     .7857162    2.054345
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. matrix strength_m_cr3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr3_race3_se="(" + string(strength_m_cr3_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr3_race3_p=strength_m_cr3_race3[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr3_race3_p'<0.001 {
.         local strength_m_cr3_race3_est=string(strength_m_cr3_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr3_race3_p'<0.01 {
.         local strength_m_cr3_race3_est=string(strength_m_cr3_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr3_race3_p'<0.05 {
.         local strength_m_cr3_race3_est=string(strength_m_cr3_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr3_race3_est=string(strength_m_cr3_race3[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. 
. lincom _b[exe_strength_advice_m_cr3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.087341   .1612651     0.56   0.572     .8130599    1.454148
------------------------------------------------------------------------------
r; t=0.05 5:08:38

. matrix strength_m_cr3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:38

. local strength_m_cr3_race4_se="(" + string(strength_m_cr3_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:38

. local strength_m_cr3_race4_p=strength_m_cr3_race4[3,1]
r; t=0.00 5:08:38

. if `strength_m_cr3_race4_p'<0.001 {
.         local strength_m_cr3_race4_est=string(strength_m_cr3_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr3_race4_p'<0.01 {
.         local strength_m_cr3_race4_est=string(strength_m_cr3_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else if `strength_m_cr3_race4_p'<0.05 {
.         local strength_m_cr3_race4_est=string(strength_m_cr3_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. else {
.         local strength_m_cr3_race4_est=string(strength_m_cr3_race4[1,1], "%3.2f")
r; t=0.00 5:08:38
. }
r; t=0.00 5:08:38

. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Guam and other census regions
. lincom _b[exe_strength_advice_m_cr0:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]0.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .4486295   .1062573    -3.38   0.001     .2820212    .7136643
------------------------------------------------------------------------------
r; t=0.02 5:08:38

. local strength_m_cr03_race0=`r(p)'
r; t=0.00 5:08:38

. 
. lincom _b[exe_strength_advice_m_cr0:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]1.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .790926   .4136342    -0.45   0.654     .2837779    2.204414
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. local strength_m_cr03_race1=`r(p)'
r; t=0.00 5:08:38

. 
. lincom _b[exe_strength_advice_m_cr0:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]3.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8550303   .5335377    -0.25   0.802     .2516705    2.904897
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. local strength_m_cr03_race3=`r(p)'
r; t=0.00 5:08:38

. 
. lincom _b[exe_strength_advice_m_cr0:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]4.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7641697    .157425    -1.31   0.192     .5103115    1.144312
------------------------------------------------------------------------------
r; t=0.02 5:08:38

. local strength_m_cr03_race4=`r(p)'
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]0.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .4058157   .1090806    -3.36   0.001     .2396245    .6872684
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. local strength_m_cr13_race0=`r(p)'
r; t=0.00 5:08:38

. 
. lincom _b[exe_strength_advice_m_cr1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]1.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9109744   .4971678    -0.17   0.864     .3125785    2.654931
------------------------------------------------------------------------------
r; t=0.02 5:08:38

. local strength_m_cr13_race1=`r(p)'
r; t=0.00 5:08:38

. 
. lincom _b[exe_strength_advice_m_cr1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]3.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.606174   .8726101     0.87   0.383     .5537924    4.658414
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. local strength_m_cr13_race3=`r(p)'
r; t=0.00 5:08:38

. 
. lincom _b[exe_strength_advice_m_cr1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]4.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5802532   .1400644    -2.25   0.024     .3615348    .9312901
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. local strength_m_cr13_race4=`r(p)'
r; t=0.00 5:08:38

. 
. 
. lincom _b[exe_strength_advice_m_cr2:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr2]0.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5838782   .1349395    -2.33   0.020     .3711947     .918423
------------------------------------------------------------------------------
r; t=0.02 5:08:38

. local strength_m_cr23_race0=`r(p)'
r; t=0.00 5:08:38

. 
. lincom _b[exe_strength_advice_m_cr2:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr2]1.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |     .87054   .4605024    -0.26   0.793     .3086851    2.455059
------------------------------------------------------------------------------
r; t=0.02 5:08:38

. local strength_m_cr23_race1=`r(p)'
r; t=0.00 5:08:38

. 
. lincom _b[exe_strength_advice_m_cr2:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr2]3.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7293903   .2102419    -1.09   0.274     .4145783    1.283256
------------------------------------------------------------------------------
r; t=0.01 5:08:38

. local strength_m_cr23_race3=`r(p)'
r; t=0.00 5:08:38

. 
. lincom _b[exe_strength_advice_m_cr2:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr2]4.praceethnicgp_multi_sim - [exe_strength_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7386782   .1441579    -1.55   0.121     .5038921    1.082862
------------------------------------------------------------------------------
r; t=0.03 5:08:38

. local strength_m_cr23_race4=`r(p)'
r; t=0.00 5:08:38

. 
. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 5:08:38

. local strength_m_cr0_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m_cr0")]
r; t=0.00 5:08:38

. local strength_m_cr1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m_cr1")]
r; t=0.00 5:08:38

. local strength_m_cr2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m_cr2")]
r; t=0.00 5:08:38

. local strength_m_cr3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_m_cr3")]
r; t=0.00 5:08:38

. 
. 
. /*
> matrix Output=(strength_m_cr0_race0, strength_m_cr03_race0, strength_m_cr1_race0, strength_m_cr13_race0, strength_m_cr
> 2_race0, strength_m_cr23_race0, strength_m_cr3_race0 \ ///
> strength_m_cr0_race1, strength_m_cr03_race1, strength_m_cr1_race1, strength_m_cr13_race1, strength_m_cr2_race1, streng
> th_m_cr23_race1, strength_m_cr3_race1 \ ///
> strength_m_cr0_race3, strength_m_cr03_race3, strength_m_cr1_race3, strength_m_cr13_race3, strength_m_cr2_race3, streng
> th_m_cr23_race3, strength_m_cr3_race3 \ ///
> strength_m_cr0_race4, strength_m_cr03_race4, strength_m_cr1_race4, strength_m_cr13_race4, strength_m_cr2_race4, streng
> th_m_cr23_race4, strength_m_cr3_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.01 5:08:38

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Guam estimates (p-value)") D1=("Esti
> mates in West coast") E1=("Wald test with corresponding Guam estimates (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:38

. putexcel F1=("Estimates in Hawaii") G1=("Wald test with corresponding Guam estimates (p-value)") H1=("Estimates in Gua
> m")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:38

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:38

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:38

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.03 5:08:38

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.03 5:08:38

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:38

. putexcel B2="`strength_m_cr0_race0_est'" B3="`strength_m_cr0_race0_se'" B4="`strength_m_cr0_race1_est'" B5="`strength_
> m_cr0_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:38

. putexcel B6="`strength_m_cr0_race3_est'" B7="`strength_m_cr0_race3_se'" B8="`strength_m_cr0_race4_est'" B9="`strength_
> m_cr0_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:38

. putexcel B10=`strength_m_cr0_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:38

. putexcel C2=`strength_m_cr03_race0' C4=`strength_m_cr03_race1' C6=`strength_m_cr03_race3' C8=`strength_m_cr03_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.01 5:08:38

. putexcel D2="`strength_m_cr1_race0_est'" D3="`strength_m_cr1_race0_se'" D4="`strength_m_cr1_race1_est'" D5="`strength_
> m_cr1_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:38

. putexcel D6="`strength_m_cr1_race3_est'" D7="`strength_m_cr1_race3_se'" D8="`strength_m_cr1_race4_est'" D9="`strength_
> m_cr1_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:38

. putexcel D10=`strength_m_cr1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.03 5:08:38

. putexcel E2=`strength_m_cr13_race0' E4=`strength_m_cr13_race1' E6=`strength_m_cr13_race3' E8=`strength_m_cr13_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:38

. putexcel F2="`strength_m_cr2_race0_est'" F3="`strength_m_cr2_race0_se'" F4="`strength_m_cr2_race1_est'" F5="`strength_
> m_cr2_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:39

. putexcel F6="`strength_m_cr2_race3_est'" F7="`strength_m_cr2_race3_se'" F8="`strength_m_cr2_race4_est'" F9="`strength_
> m_cr2_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:39

. putexcel F10=`strength_m_cr2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:39

. putexcel G2=`strength_m_cr23_race0' G4=`strength_m_cr23_race1' G6=`strength_m_cr23_race3' G8=`strength_m_cr23_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.01 5:08:39

. putexcel H2="`strength_m_cr3_race0_est'" H3="`strength_m_cr3_race0_se'" H4="`strength_m_cr3_race1_est'" H5="`strength_
> m_cr3_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.03 5:08:39

. putexcel H6="`strength_m_cr3_race3_est'" H7="`strength_m_cr3_race3_se'" H8="`strength_m_cr3_race4_est'" H9="`strength_
> m_cr3_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.03 5:08:39

. putexcel H10=`strength_m_cr3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_m.xlsx saved
r; t=0.02 5:08:39

. putexcel close
r; t=0.01 5:08:39

. 
. 
. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Hawaii and other census regions
. lincom _b[exe_strength_advice_m_cr0:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]0.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7683615   .1501736    -1.35   0.178     .5238429    1.127016
------------------------------------------------------------------------------
r; t=0.02 5:08:39

. local strength_m_cr02_race0=`r(p)'
r; t=0.00 5:08:39

. 
. lincom _b[exe_strength_advice_m_cr0:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]1.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9085465   .2187609    -0.40   0.690     .5667527    1.456467
------------------------------------------------------------------------------
r; t=0.03 5:08:39

. local strength_m_cr02_race1=`r(p)'
r; t=0.00 5:08:39

. 
. lincom _b[exe_strength_advice_m_cr0:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]3.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.172253   .6975474     0.27   0.789     .3651867    3.762947
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. local strength_m_cr02_race3=`r(p)'
r; t=0.00 5:08:39

. 
. lincom _b[exe_strength_advice_m_cr0:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr0]4.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.03451   .1996105     0.18   0.860     .7087506    1.509995
------------------------------------------------------------------------------
r; t=0.04 5:08:39

. local strength_m_cr02_race4=`r(p)'
r; t=0.00 5:08:39

. 
. 
. lincom _b[exe_strength_advice_m_cr1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]0.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6950348   .1594909    -1.59   0.113     .4432814    1.089767
------------------------------------------------------------------------------
r; t=0.03 5:08:39

. local strength_m_cr12_race0=`r(p)'
r; t=0.00 5:08:39

. 
. lincom _b[exe_strength_advice_m_cr1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]1.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.046447   .2990452     0.16   0.874     .5976786    1.832176
------------------------------------------------------------------------------
r; t=0.02 5:08:39

. local strength_m_cr12_race1=`r(p)'
r; t=0.00 5:08:39

. 
. lincom _b[exe_strength_advice_m_cr1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]3.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.202077   1.119051     1.55   0.120     .8133339    5.962058
------------------------------------------------------------------------------
r; t=0.02 5:08:39

. local strength_m_cr12_race3=`r(p)'
r; t=0.00 5:08:39

. 
. lincom _b[exe_strength_advice_m_cr1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_m_cr1]4.praceethnicgp_multi_sim - [exe_strength_advice_m_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .785529   .1792698    -1.06   0.290     .5022324    1.228626
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. local strength_m_cr12_race4=`r(p)'
r; t=0.00 5:08:39

. 
. 
. lincom _b[exe_strength_advice_m_cr3:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_m_cr2]0.praceethnicgp_multi_sim + [exe_strength_advice_m_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.712686    .395817     2.33   0.020     1.088823    2.694004
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. local strength_m_cr32_race0=`r(p)'
r; t=0.00 5:08:39

. 
. lincom _b[exe_strength_advice_m_cr3:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_m_cr2]1.praceethnicgp_multi_sim + [exe_strength_advice_m_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.148712   .6076513     0.26   0.793     .4073222    3.239548
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. local strength_m_cr32_race1=`r(p)'
r; t=0.00 5:08:39

. 
. lincom _b[exe_strength_advice_m_cr3:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_m_cr2]3.praceethnicgp_multi_sim + [exe_strength_advice_m_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.371008    .395184     1.09   0.274     .7792675     2.41209
------------------------------------------------------------------------------
r; t=0.02 5:08:39

. local strength_m_cr32_race3=`r(p)'
r; t=0.00 5:08:39

. 
. lincom _b[exe_strength_advice_m_cr3:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_m_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_m_cr2]4.praceethnicgp_multi_sim + [exe_strength_advice_m_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.353769    .264197     1.55   0.121     .9234789    1.984552
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. local strength_m_cr32_race4=`r(p)'
r; t=0.00 5:08:39

. 
. 
. /*
> matrix Output=(strength_m_cr0_race0, strength_m_cr02_race0, strength_m_cr1_race0, strength_m_cr12_race0, strength_m_cr
> 2_race0, strength_m_cr3_race0, strength_m_cr32_race0 \ ///
> strength_m_cr0_race1, strength_m_cr02_race1, strength_m_cr1_race1, strength_m_cr12_race1, strength_m_cr2_race1, streng
> th_m_cr3_race1, strength_m_cr32_race1 \ ///
> strength_m_cr0_race3, strength_m_cr02_race3, strength_m_cr1_race3, strength_m_cr12_race3, strength_m_cr2_race3, streng
> th_m_cr3_race3, strength_m_cr32_race3 \ ///
> strength_m_cr0_race4, strength_m_cr02_race4, strength_m_cr1_race4, strength_m_cr12_race4, strength_m_cr2_race4, streng
> th_m_cr3_race4, strength_m_cr32_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 5:08:39

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Hawaii estimates (p-value)") D1=("Es
> timates in West coast") E1=("Wald test with corresponding Hawaii estimates (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel F1=("Estimates in Hawaii") G1=("Estimates in Guam") H1=("Wald test with corresponding Hawaii estimates (p-val
> ue)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.01 5:08:39

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.03 5:08:39

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.03 5:08:39

. putexcel B2="`strength_m_cr0_race0_est'" B3="`strength_m_cr0_race0_se'" B4="`strength_m_cr0_race1_est'" B5="`strength_
> m_cr0_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.03 5:08:39

. putexcel B6="`strength_m_cr0_race3_est'" B7="`strength_m_cr0_race3_se'" B8="`strength_m_cr0_race4_est'" B9="`strength_
> m_cr0_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.01 5:08:39

. putexcel B10=`strength_m_cr0_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel C2=`strength_m_cr02_race0' C4=`strength_m_cr02_race1' C6=`strength_m_cr02_race3' C8=`strength_m_cr02_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.03 5:08:39

. putexcel D2="`strength_m_cr1_race0_est'" D3="`strength_m_cr1_race0_se'" D4="`strength_m_cr1_race1_est'" D5="`strength_
> m_cr1_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.01 5:08:39

. putexcel D6="`strength_m_cr1_race3_est'" D7="`strength_m_cr1_race3_se'" D8="`strength_m_cr1_race4_est'" D9="`strength_
> m_cr1_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel D10=`strength_m_cr1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel E2=`strength_m_cr12_race0' E4=`strength_m_cr12_race1' E6=`strength_m_cr12_race3' E8=`strength_m_cr12_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel F2="`strength_m_cr2_race0_est'" F3="`strength_m_cr2_race0_se'" F4="`strength_m_cr2_race1_est'" F5="`strength_
> m_cr2_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel F6="`strength_m_cr2_race3_est'" F7="`strength_m_cr2_race3_se'" F8="`strength_m_cr2_race4_est'" F9="`strength_
> m_cr2_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.04 5:08:39

. putexcel F10=`strength_m_cr2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.03 5:08:39

. putexcel G2="`strength_m_cr3_race0_est'" G3="`strength_m_cr3_race0_se'" G4="`strength_m_cr3_race1_est'" G5="`strength_
> m_cr3_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.04 5:08:39

. putexcel G6="`strength_m_cr3_race3_est'" G7="`strength_m_cr3_race3_se'" G8="`strength_m_cr3_race4_est'" G9="`strength_
> m_cr3_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel G10=`strength_m_cr3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel H2=`strength_m_cr32_race0' H4=`strength_m_cr32_race1' H6=`strength_m_cr32_race3' H8=`strength_m_cr32_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_m.xlsx saved
r; t=0.02 5:08:39

. putexcel close
r; t=0.00 5:08:39

. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among women in Eastern US
. lincom _b[exe_aerobic_advice_f_cr0:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr0]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.788523   .2700739     3.85   0.000      1.33033    2.404525
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. matrix aerobic_f_cr0_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:39

. local aerobic_f_cr0_race0_se="(" + string(aerobic_f_cr0_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:39

. local aerobic_f_cr0_race0_p=aerobic_f_cr0_race0[3,1]
r; t=0.00 5:08:39

. if `aerobic_f_cr0_race0_p'<0.001 {
.         local aerobic_f_cr0_race0_est=string(aerobic_f_cr0_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr0_race0_p'<0.01 {
.         local aerobic_f_cr0_race0_est=string(aerobic_f_cr0_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr0_race0_p'<0.05 {
.         local aerobic_f_cr0_race0_est=string(aerobic_f_cr0_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else {
.         local aerobic_f_cr0_race0_est=string(aerobic_f_cr0_race0[1,1], "%3.2f")
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. 
. 
. lincom _b[exe_aerobic_advice_f_cr0:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr0]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.743811   .2881463     3.37   0.001     1.261384    2.410747
------------------------------------------------------------------------------
r; t=0.02 5:08:39

. matrix aerobic_f_cr0_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:39

. local aerobic_f_cr0_race1_se="(" + string(aerobic_f_cr0_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:39

. local aerobic_f_cr0_race1_p=aerobic_f_cr0_race1[3,1]
r; t=0.00 5:08:39

. if `aerobic_f_cr0_race1_p'<0.001 {
.         local aerobic_f_cr0_race1_est=string(aerobic_f_cr0_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr0_race1_p'<0.01 {
.         local aerobic_f_cr0_race1_est=string(aerobic_f_cr0_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr0_race1_p'<0.05 {
.         local aerobic_f_cr0_race1_est=string(aerobic_f_cr0_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else {
.         local aerobic_f_cr0_race1_est=string(aerobic_f_cr0_race1[1,1], "%3.2f")
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. 
. 
. lincom _b[exe_aerobic_advice_f_cr0:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr0]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    2.28635   1.204854     1.57   0.117     .8139141    6.422539
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. matrix aerobic_f_cr0_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:39

. local aerobic_f_cr0_race3_se="(" + string(aerobic_f_cr0_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:39

. local aerobic_f_cr0_race3_p=aerobic_f_cr0_race3[3,1]
r; t=0.00 5:08:39

. if `aerobic_f_cr0_race3_p'<0.001 {
.         local aerobic_f_cr0_race3_est=string(aerobic_f_cr0_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr0_race3_p'<0.01 {
.         local aerobic_f_cr0_race3_est=string(aerobic_f_cr0_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr0_race3_p'<0.05 {
.         local aerobic_f_cr0_race3_est=string(aerobic_f_cr0_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else {
.         local aerobic_f_cr0_race3_est=string(aerobic_f_cr0_race3[1,1], "%3.2f")
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. 
. 
. lincom _b[exe_aerobic_advice_f_cr0:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr0]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.169578   .1771003     1.03   0.301      .869237    1.573694
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. matrix aerobic_f_cr0_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:39

. local aerobic_f_cr0_race4_se="(" + string(aerobic_f_cr0_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:39

. local aerobic_f_cr0_race4_p=aerobic_f_cr0_race4[3,1]
r; t=0.00 5:08:39

. if `aerobic_f_cr0_race4_p'<0.001 {
.         local aerobic_f_cr0_race4_est=string(aerobic_f_cr0_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr0_race4_p'<0.01 {
.         local aerobic_f_cr0_race4_est=string(aerobic_f_cr0_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr0_race4_p'<0.05 {
.         local aerobic_f_cr0_race4_est=string(aerobic_f_cr0_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else {
.         local aerobic_f_cr0_race4_est=string(aerobic_f_cr0_race4[1,1], "%3.2f")
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among women in Western US
. lincom _b[exe_aerobic_advice_f_cr1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.249791   .2380917     1.17   0.242     .8603577    1.815499
------------------------------------------------------------------------------
r; t=0.02 5:08:39

. matrix aerobic_f_cr1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:39

. local aerobic_f_cr1_race0_se="(" + string(aerobic_f_cr1_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:39

. local aerobic_f_cr1_race0_p=aerobic_f_cr1_race0[3,1]
r; t=0.00 5:08:39

. if `aerobic_f_cr1_race0_p'<0.001 {
.         local aerobic_f_cr1_race0_est=string(aerobic_f_cr1_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr1_race0_p'<0.01 {
.         local aerobic_f_cr1_race0_est=string(aerobic_f_cr1_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr1_race0_p'<0.05 {
.         local aerobic_f_cr1_race0_est=string(aerobic_f_cr1_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else {
.         local aerobic_f_cr1_race0_est=string(aerobic_f_cr1_race0[1,1], "%3.2f")
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. 
. 
. lincom _b[exe_aerobic_advice_f_cr1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.15581    .250255     0.67   0.504     .7561097    1.766803
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. matrix aerobic_f_cr1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:39

. local aerobic_f_cr1_race1_se="(" + string(aerobic_f_cr1_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:39

. local aerobic_f_cr1_race1_p=aerobic_f_cr1_race1[3,1]
r; t=0.00 5:08:39

. if `aerobic_f_cr1_race1_p'<0.001 {
.         local aerobic_f_cr1_race1_est=string(aerobic_f_cr1_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr1_race1_p'<0.01 {
.         local aerobic_f_cr1_race1_est=string(aerobic_f_cr1_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr1_race1_p'<0.05 {
.         local aerobic_f_cr1_race1_est=string(aerobic_f_cr1_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else {
.         local aerobic_f_cr1_race1_est=string(aerobic_f_cr1_race1[1,1], "%3.2f")
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. 
. 
. lincom _b[exe_aerobic_advice_f_cr1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9299289   .4980251    -0.14   0.892     .3255268    2.656518
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. matrix aerobic_f_cr1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:39

. local aerobic_f_cr1_race3_se="(" + string(aerobic_f_cr1_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:39

. local aerobic_f_cr1_race3_p=aerobic_f_cr1_race3[3,1]
r; t=0.00 5:08:39

. if `aerobic_f_cr1_race3_p'<0.001 {
.         local aerobic_f_cr1_race3_est=string(aerobic_f_cr1_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr1_race3_p'<0.01 {
.         local aerobic_f_cr1_race3_est=string(aerobic_f_cr1_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr1_race3_p'<0.05 {
.         local aerobic_f_cr1_race3_est=string(aerobic_f_cr1_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else {
.         local aerobic_f_cr1_race3_est=string(aerobic_f_cr1_race3[1,1], "%3.2f")
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. 
. 
. lincom _b[exe_aerobic_advice_f_cr1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .822262   .1575063    -1.02   0.307     .5648853    1.196906
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. matrix aerobic_f_cr1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:39

. local aerobic_f_cr1_race4_se="(" + string(aerobic_f_cr1_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:39

. local aerobic_f_cr1_race4_p=aerobic_f_cr1_race4[3,1]
r; t=0.00 5:08:39

. if `aerobic_f_cr1_race4_p'<0.001 {
.         local aerobic_f_cr1_race4_est=string(aerobic_f_cr1_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr1_race4_p'<0.01 {
.         local aerobic_f_cr1_race4_est=string(aerobic_f_cr1_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr1_race4_p'<0.05 {
.         local aerobic_f_cr1_race4_est=string(aerobic_f_cr1_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else {
.         local aerobic_f_cr1_race4_est=string(aerobic_f_cr1_race4[1,1], "%3.2f")
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among women in Hawaii
. lincom _b[exe_aerobic_advice_f_cr2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.708095   .2100215     4.35   0.000     1.342304    2.173567
------------------------------------------------------------------------------
r; t=0.02 5:08:39

. matrix aerobic_f_cr2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:39

. local aerobic_f_cr2_race0_se="(" + string(aerobic_f_cr2_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:39

. local aerobic_f_cr2_race0_p=aerobic_f_cr2_race0[3,1]
r; t=0.00 5:08:39

. if `aerobic_f_cr2_race0_p'<0.001 {
.         local aerobic_f_cr2_race0_est=string(aerobic_f_cr2_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr2_race0_p'<0.01 {
.         local aerobic_f_cr2_race0_est=string(aerobic_f_cr2_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr2_race0_p'<0.05 {
.         local aerobic_f_cr2_race0_est=string(aerobic_f_cr2_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else {
.         local aerobic_f_cr2_race0_est=string(aerobic_f_cr2_race0[1,1], "%3.2f")
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. 
. 
. lincom _b[exe_aerobic_advice_f_cr2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.257685   .1998525     1.44   0.149     .9211105    1.717245
------------------------------------------------------------------------------
r; t=0.01 5:08:39

. matrix aerobic_f_cr2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:39

. local aerobic_f_cr2_race1_se="(" + string(aerobic_f_cr2_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:39

. local aerobic_f_cr2_race1_p=aerobic_f_cr2_race1[3,1]
r; t=0.00 5:08:39

. if `aerobic_f_cr2_race1_p'<0.001 {
.         local aerobic_f_cr2_race1_est=string(aerobic_f_cr2_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr2_race1_p'<0.01 {
.         local aerobic_f_cr2_race1_est=string(aerobic_f_cr2_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else if `aerobic_f_cr2_race1_p'<0.05 {
.         local aerobic_f_cr2_race1_est=string(aerobic_f_cr2_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. else {
.         local aerobic_f_cr2_race1_est=string(aerobic_f_cr2_race1[1,1], "%3.2f")
r; t=0.00 5:08:39
. }
r; t=0.00 5:08:39

. 
. 
. lincom _b[exe_aerobic_advice_f_cr2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9732052   .1345716    -0.20   0.844     .7421692    1.276162
------------------------------------------------------------------------------
r; t=0.01 5:08:40

. matrix aerobic_f_cr2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:40

. local aerobic_f_cr2_race3_se="(" + string(aerobic_f_cr2_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:40

. local aerobic_f_cr2_race3_p=aerobic_f_cr2_race3[3,1]
r; t=0.00 5:08:40

. if `aerobic_f_cr2_race3_p'<0.001 {
.         local aerobic_f_cr2_race3_est=string(aerobic_f_cr2_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr2_race3_p'<0.01 {
.         local aerobic_f_cr2_race3_est=string(aerobic_f_cr2_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr2_race3_p'<0.05 {
.         local aerobic_f_cr2_race3_est=string(aerobic_f_cr2_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else {
.         local aerobic_f_cr2_race3_est=string(aerobic_f_cr2_race3[1,1], "%3.2f")
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. 
. 
. lincom _b[exe_aerobic_advice_f_cr2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9278686   .1094578    -0.63   0.526     .7363304    1.169231
------------------------------------------------------------------------------
r; t=0.01 5:08:40

. matrix aerobic_f_cr2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:40

. local aerobic_f_cr2_race4_se="(" + string(aerobic_f_cr2_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:40

. local aerobic_f_cr2_race4_p=aerobic_f_cr2_race4[3,1]
r; t=0.00 5:08:40

. if `aerobic_f_cr2_race4_p'<0.001 {
.         local aerobic_f_cr2_race4_est=string(aerobic_f_cr2_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr2_race4_p'<0.01 {
.         local aerobic_f_cr2_race4_est=string(aerobic_f_cr2_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr2_race4_p'<0.05 {
.         local aerobic_f_cr2_race4_est=string(aerobic_f_cr2_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else {
.         local aerobic_f_cr2_race4_est=string(aerobic_f_cr2_race4[1,1], "%3.2f")
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. 
. 
. 
. 
. 
. 
. *Meeting aerobic exercise recommendation among women in Guam
. lincom _b[exe_aerobic_advice_f_cr3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.065878   .4316669     3.47   0.001     1.371656    3.111459
------------------------------------------------------------------------------
r; t=0.02 5:08:40

. matrix aerobic_f_cr3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:40

. local aerobic_f_cr3_race0_se="(" + string(aerobic_f_cr3_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:40

. local aerobic_f_cr3_race0_p=aerobic_f_cr3_race0[3,1]
r; t=0.00 5:08:40

. if `aerobic_f_cr3_race0_p'<0.001 {
.         local aerobic_f_cr3_race0_est=string(aerobic_f_cr3_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr3_race0_p'<0.01 {
.         local aerobic_f_cr3_race0_est=string(aerobic_f_cr3_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr3_race0_p'<0.05 {
.         local aerobic_f_cr3_race0_est=string(aerobic_f_cr3_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else {
.         local aerobic_f_cr3_race0_est=string(aerobic_f_cr3_race0[1,1], "%3.2f")
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. 
. 
. lincom _b[exe_aerobic_advice_f_cr3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.753712   .6479266     1.52   0.128     .8501059    3.617792
------------------------------------------------------------------------------
r; t=0.02 5:08:40

. matrix aerobic_f_cr3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:40

. local aerobic_f_cr3_race1_se="(" + string(aerobic_f_cr3_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:40

. local aerobic_f_cr3_race1_p=aerobic_f_cr3_race1[3,1]
r; t=0.00 5:08:40

. if `aerobic_f_cr3_race1_p'<0.001 {
.         local aerobic_f_cr3_race1_est=string(aerobic_f_cr3_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr3_race1_p'<0.01 {
.         local aerobic_f_cr3_race1_est=string(aerobic_f_cr3_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr3_race1_p'<0.05 {
.         local aerobic_f_cr3_race1_est=string(aerobic_f_cr3_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else {
.         local aerobic_f_cr3_race1_est=string(aerobic_f_cr3_race1[1,1], "%3.2f")
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. 
. 
. lincom _b[exe_aerobic_advice_f_cr3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.521965    .317894     2.01   0.044     1.010679    2.291901
------------------------------------------------------------------------------
r; t=0.02 5:08:40

. matrix aerobic_f_cr3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:40

. local aerobic_f_cr3_race3_se="(" + string(aerobic_f_cr3_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:40

. local aerobic_f_cr3_race3_p=aerobic_f_cr3_race3[3,1]
r; t=0.00 5:08:40

. if `aerobic_f_cr3_race3_p'<0.001 {
.         local aerobic_f_cr3_race3_est=string(aerobic_f_cr3_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr3_race3_p'<0.01 {
.         local aerobic_f_cr3_race3_est=string(aerobic_f_cr3_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr3_race3_p'<0.05 {
.         local aerobic_f_cr3_race3_est=string(aerobic_f_cr3_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else {
.         local aerobic_f_cr3_race3_est=string(aerobic_f_cr3_race3[1,1], "%3.2f")
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. 
. 
. 
. lincom _b[exe_aerobic_advice_f_cr3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_aerobic_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.144646   .1506867     1.03   0.305     .8843308    1.481588
------------------------------------------------------------------------------
r; t=0.01 5:08:40

. matrix aerobic_f_cr3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:40

. local aerobic_f_cr3_race4_se="(" + string(aerobic_f_cr3_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:40

. local aerobic_f_cr3_race4_p=aerobic_f_cr3_race4[3,1]
r; t=0.00 5:08:40

. if `aerobic_f_cr3_race4_p'<0.001 {
.         local aerobic_f_cr3_race4_est=string(aerobic_f_cr3_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr3_race4_p'<0.01 {
.         local aerobic_f_cr3_race4_est=string(aerobic_f_cr3_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else if `aerobic_f_cr3_race4_p'<0.05 {
.         local aerobic_f_cr3_race4_est=string(aerobic_f_cr3_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. else {
.         local aerobic_f_cr3_race4_est=string(aerobic_f_cr3_race4[1,1], "%3.2f")
r; t=0.00 5:08:40
. }
r; t=0.00 5:08:40

. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Guam and other census regions
. lincom _b[exe_aerobic_advice_f_cr0:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8657445   .2231596    -0.56   0.576     .5223704    1.434832
------------------------------------------------------------------------------
r; t=0.01 5:08:40

. local aerobic_f_cr03_race0=`r(p)'
r; t=0.00 5:08:40

. 
. lincom _b[exe_aerobic_advice_f_cr0:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9943543    .398832    -0.01   0.989     .4530299    2.182506
------------------------------------------------------------------------------
r; t=0.03 5:08:40

. local aerobic_f_cr03_race1=`r(p)'
r; t=0.00 5:08:40

. 
. lincom _b[exe_aerobic_advice_f_cr0:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.502236   .8519813     0.72   0.473     .4942939    4.565527
------------------------------------------------------------------------------
r; t=0.01 5:08:40

. local aerobic_f_cr03_race3=`r(p)'
r; t=0.00 5:08:40

. 
. lincom _b[exe_aerobic_advice_f_cr0:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.021782   .2050687     0.11   0.914     .6894839    1.514231
------------------------------------------------------------------------------
r; t=0.01 5:08:40

. local aerobic_f_cr03_race4=`r(p)'
r; t=0.00 5:08:40

. 
. 
. lincom _b[exe_aerobic_advice_f_cr1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6049686    .171652    -1.77   0.077     .3469086    1.054995
------------------------------------------------------------------------------
r; t=0.03 5:08:40

. local aerobic_f_cr13_race0=`r(p)'
r; t=0.00 5:08:40

. 
. lincom _b[exe_aerobic_advice_f_cr1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6590648   .2874915    -0.96   0.339     .2803006    1.549645
------------------------------------------------------------------------------
r; t=0.01 5:08:40

. local aerobic_f_cr13_race1=`r(p)'
r; t=0.00 5:08:40

. 
. lincom _b[exe_aerobic_advice_f_cr1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6110056   .3516711    -0.86   0.392     .1977544    1.887836
------------------------------------------------------------------------------
r; t=0.02 5:08:40

. local aerobic_f_cr13_race3=`r(p)'
r; t=0.00 5:08:40

. 
. lincom _b[exe_aerobic_advice_f_cr1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7183549   .1657911    -1.43   0.152       .45697    1.129251
------------------------------------------------------------------------------
r; t=0.01 5:08:40

. local aerobic_f_cr13_race4=`r(p)'
r; t=0.00 5:08:40

. 
. 
. lincom _b[exe_aerobic_advice_f_cr2:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr2]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .826813    .199713    -0.79   0.431     .5149951     1.32743
------------------------------------------------------------------------------
r; t=0.02 5:08:40

. local aerobic_f_cr23_race0=`r(p)'
r; t=0.00 5:08:40

. 
. lincom _b[exe_aerobic_advice_f_cr2:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr2]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7171561   .2884029    -0.83   0.408     .3260651    1.577332
------------------------------------------------------------------------------
r; t=0.06 5:08:40

. local aerobic_f_cr23_race1=`r(p)'
r; t=0.00 5:08:40

. 
. lincom _b[exe_aerobic_advice_f_cr2:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr2]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |     .63944   .1601248    -1.79   0.074     .3914234    1.044607
------------------------------------------------------------------------------
r; t=0.05 5:08:40

. local aerobic_f_cr23_race3=`r(p)'
r; t=0.00 5:08:40

. 
. lincom _b[exe_aerobic_advice_f_cr2:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr3:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr2]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8106163   .1431033    -1.19   0.234     .5735181    1.145733
------------------------------------------------------------------------------
r; t=0.02 5:08:40

. local aerobic_f_cr23_race4=`r(p)'
r; t=0.00 5:08:40

. 
. 
. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 5:08:40

. local aerobic_f_cr0_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f_cr0")]
r; t=0.00 5:08:40

. local aerobic_f_cr1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f_cr1")]
r; t=0.02 5:08:40

. local aerobic_f_cr2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f_cr2")]
r; t=0.00 5:08:40

. local aerobic_f_cr3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_aerobic_advice_f_cr3")]
r; t=0.00 5:08:40

. 
. /*
> matrix Output=(aerobic_f_cr0_race0, aerobic_f_cr03_race0, aerobic_f_cr1_race0, aerobic_f_cr13_race0, aerobic_f_cr2_rac
> e0, aerobic_f_cr23_race0, aerobic_f_cr3_race0 \ ///
> aerobic_f_cr0_race1, aerobic_f_cr03_race1, aerobic_f_cr1_race1, aerobic_f_cr13_race1, aerobic_f_cr2_race1, aerobic_f_c
> r23_race1, aerobic_f_cr3_race1 \ ///
> aerobic_f_cr0_race3, aerobic_f_cr03_race3, aerobic_f_cr1_race3, aerobic_f_cr13_race3, aerobic_f_cr2_race3, aerobic_f_c
> r23_race3, aerobic_f_cr3_race3 \ ///
> aerobic_f_cr0_race4, aerobic_f_cr03_race4, aerobic_f_cr1_race4, aerobic_f_cr13_race4, aerobic_f_cr2_race4, aerobic_f_c
> r23_race4, aerobic_f_cr3_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 5:08:40

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Guam estimates (p-value)") D1=("Esti
> mates in West coast") E1=("Wald test with corresponding Guam estimates (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.01 5:08:40

. putexcel F1=("Estimates in Hawaii") G1=("Wald test with corresponding Guam estimates (p-value)") H1=("Estimates in Gua
> m")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.04 5:08:40

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:40

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.04 5:08:40

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.04 5:08:40

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:40

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.04 5:08:40

. putexcel B2="`aerobic_f_cr0_race0_est'" B3="`aerobic_f_cr0_race0_se'" B4="`aerobic_f_cr0_race1_est'" B5="`aerobic_f_cr
> 0_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:40

. putexcel B6="`aerobic_f_cr0_race3_est'" B7="`aerobic_f_cr0_race3_se'" B8="`aerobic_f_cr0_race4_est'" B9="`aerobic_f_cr
> 0_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.05 5:08:40

. putexcel B10=`aerobic_f_cr0_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:40

. putexcel C2=`aerobic_f_cr03_race0' C4=`aerobic_f_cr03_race1' C6=`aerobic_f_cr03_race3' C8=`aerobic_f_cr03_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.03 5:08:40

. putexcel D2="`aerobic_f_cr1_race0_est'" D3="`aerobic_f_cr1_race0_se'" D4="`aerobic_f_cr1_race1_est'" D5="`aerobic_f_cr
> 1_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.03 5:08:40

. putexcel D6="`aerobic_f_cr1_race3_est'" D7="`aerobic_f_cr1_race3_se'" D8="`aerobic_f_cr1_race4_est'" D9="`aerobic_f_cr
> 1_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.03 5:08:40

. putexcel D10=`aerobic_f_cr1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.04 5:08:40

. putexcel E2=`aerobic_f_cr13_race0' E4=`aerobic_f_cr13_race1' E6=`aerobic_f_cr13_race3' E8=`aerobic_f_cr13_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.03 5:08:40

. putexcel F2="`aerobic_f_cr2_race0_est'" F3="`aerobic_f_cr2_race0_se'" F4="`aerobic_f_cr2_race1_est'" F5="`aerobic_f_cr
> 2_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:40

. putexcel F6="`aerobic_f_cr2_race3_est'" F7="`aerobic_f_cr2_race3_se'" F8="`aerobic_f_cr2_race4_est'" F9="`aerobic_f_cr
> 2_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.03 5:08:40

. putexcel F10=`aerobic_f_cr2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.13 5:08:41

. putexcel G2=`aerobic_f_cr23_race0' G4=`aerobic_f_cr23_race1' G6=`aerobic_f_cr23_race3' G8=`aerobic_f_cr23_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.06 5:08:41

. putexcel H2="`aerobic_f_cr3_race0_est'" H3="`aerobic_f_cr3_race0_se'" H4="`aerobic_f_cr3_race1_est'" H5="`aerobic_f_cr
> 3_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.06 5:08:41

. putexcel H6="`aerobic_f_cr3_race3_est'" H7="`aerobic_f_cr3_race3_se'" H8="`aerobic_f_cr3_race4_est'" H9="`aerobic_f_cr
> 3_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.06 5:08:41

. putexcel H10=`aerobic_f_cr3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsGuam_f.xlsx saved
r; t=0.10 5:08:41

. putexcel close
r; t=0.00 5:08:41

. 
. 
. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Hawaii and other census regions
. lincom _b[exe_aerobic_advice_f_cr0:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.047086   .2043002     0.24   0.814     .7143346     1.53484
------------------------------------------------------------------------------
r; t=0.02 5:08:41

. local aerobic_f_cr02_race0=`r(p)'
r; t=0.00 5:08:41

. 
. lincom _b[exe_aerobic_advice_f_cr0:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.386524   .3182528     1.42   0.155      .884196    2.174234
------------------------------------------------------------------------------
r; t=0.03 5:08:41

. local aerobic_f_cr02_race1=`r(p)'
r; t=0.00 5:08:41

. 
. lincom _b[exe_aerobic_advice_f_cr0:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.349299   1.280544     1.57   0.117     .8071774     6.83766
------------------------------------------------------------------------------
r; t=0.02 5:08:41

. local aerobic_f_cr02_race3=`r(p)'
r; t=0.00 5:08:41

. 
. lincom _b[exe_aerobic_advice_f_cr0:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr0]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |     1.2605   .2427651     1.20   0.229     .8641836    1.838567
------------------------------------------------------------------------------
r; t=0.01 5:08:41

. local aerobic_f_cr02_race4=`r(p)'
r; t=0.00 5:08:41

. 
. 
. lincom _b[exe_aerobic_advice_f_cr1:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]0.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7316873   .1651827    -1.38   0.166     .4700689     1.13891
------------------------------------------------------------------------------
r; t=0.02 5:08:41

. local aerobic_f_cr12_race0=`r(p)'
r; t=0.00 5:08:41

. 
. lincom _b[exe_aerobic_advice_f_cr1:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]1.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9189977   .2454594    -0.32   0.752      .544456    1.551194
------------------------------------------------------------------------------
r; t=0.02 5:08:41

. local aerobic_f_cr12_race1=`r(p)'
r; t=0.00 5:08:41

. 
. lincom _b[exe_aerobic_advice_f_cr1:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]3.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9555323   .5280986    -0.08   0.934       .32345    2.822822
------------------------------------------------------------------------------
r; t=0.01 5:08:41

. local aerobic_f_cr12_race3=`r(p)'
r; t=0.00 5:08:41

. 
. lincom _b[exe_aerobic_advice_f_cr1:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  [exe_aerobic_advice_f_cr1]4.praceethnicgp_multi_sim - [exe_aerobic_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8861837   .1984881    -0.54   0.590     .5713086    1.374601
------------------------------------------------------------------------------
r; t=0.01 5:08:41

. local aerobic_f_cr12_race4=`r(p)'
r; t=0.00 5:08:41

. 
. 
. lincom _b[exe_aerobic_advice_f_cr3:0.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:0.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_f_cr2]0.praceethnicgp_multi_sim + [exe_aerobic_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.209463   .2921405     0.79   0.431     .7533356    1.941766
------------------------------------------------------------------------------
r; t=0.02 5:08:41

. local aerobic_f_cr32_race0=`r(p)'
r; t=0.00 5:08:41

. 
. lincom _b[exe_aerobic_advice_f_cr3:1.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:1.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_f_cr2]1.praceethnicgp_multi_sim + [exe_aerobic_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.394397   .5607539     0.83   0.408     .6339819    3.066873
------------------------------------------------------------------------------
r; t=0.02 5:08:41

. local aerobic_f_cr32_race1=`r(p)'
r; t=0.00 5:08:41

. 
. lincom _b[exe_aerobic_advice_f_cr3:3.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:3.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_f_cr2]3.praceethnicgp_multi_sim + [exe_aerobic_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.563868   .3916146     1.79   0.074     .9572979    2.554779
------------------------------------------------------------------------------
r; t=0.01 5:08:41

. local aerobic_f_cr32_race3=`r(p)'
r; t=0.00 5:08:41

. 
. lincom _b[exe_aerobic_advice_f_cr3:4.praceethnicgp_multi_sim]-_b[exe_aerobic_advice_f_cr2:4.praceethnicgp_multi_sim], 
> eform

 ( 1)  - [exe_aerobic_advice_f_cr2]4.praceethnicgp_multi_sim + [exe_aerobic_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.233629   .2177805     1.19   0.234     .8728034    1.743624
------------------------------------------------------------------------------
r; t=0.02 5:08:41

. local aerobic_f_cr32_race4=`r(p)'
r; t=0.00 5:08:41

. 
. 
. /*
> matrix Output=(aerobic_f_cr0_race0, aerobic_f_cr02_race0, aerobic_f_cr1_race0, aerobic_f_cr12_race0, aerobic_f_cr2_rac
> e0, aerobic_f_cr3_race0, aerobic_f_cr32_race0 \ ///
> aerobic_f_cr0_race1, aerobic_f_cr02_race1, aerobic_f_cr1_race1, aerobic_f_cr12_race1, aerobic_f_cr2_race1, aerobic_f_c
> r3_race1, aerobic_f_cr32_race1 \ ///
> aerobic_f_cr0_race3, aerobic_f_cr02_race3, aerobic_f_cr1_race3, aerobic_f_cr12_race3, aerobic_f_cr2_race3, aerobic_f_c
> r3_race3, aerobic_f_cr32_race3 \ ///
> aerobic_f_cr0_race4, aerobic_f_cr02_race4, aerobic_f_cr1_race4, aerobic_f_cr12_race4, aerobic_f_cr2_race4, aerobic_f_c
> r3_race4, aerobic_f_cr32_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 5:08:41

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Hawaii estimates (p-value)") D1=("Es
> timates in West coast") E1=("Wald test with corresponding Hawaii estimates (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.01 5:08:41

. putexcel F1=("Estimates in Hawaii") G1=("Estimates in Guam") H1=("Wald test with corresponding Hawaii estimates (p-val
> ue)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 5:08:41

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 5:08:41

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.04 5:08:41

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:41

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.05 5:08:41

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.01 5:08:41

. putexcel B2="`aerobic_f_cr0_race0_est'" B3="`aerobic_f_cr0_race0_se'" B4="`aerobic_f_cr0_race1_est'" B5="`aerobic_f_cr
> 0_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 5:08:41

. putexcel B6="`aerobic_f_cr0_race3_est'" B7="`aerobic_f_cr0_race3_se'" B8="`aerobic_f_cr0_race4_est'" B9="`aerobic_f_cr
> 0_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.01 5:08:41

. putexcel B10=`aerobic_f_cr0_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.05 5:08:41

. putexcel C2=`aerobic_f_cr02_race0' C4=`aerobic_f_cr02_race1' C6=`aerobic_f_cr02_race3' C8=`aerobic_f_cr02_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:41

. putexcel D2="`aerobic_f_cr1_race0_est'" D3="`aerobic_f_cr1_race0_se'" D4="`aerobic_f_cr1_race1_est'" D5="`aerobic_f_cr
> 1_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.04 5:08:41

. putexcel D6="`aerobic_f_cr1_race3_est'" D7="`aerobic_f_cr1_race3_se'" D8="`aerobic_f_cr1_race4_est'" D9="`aerobic_f_cr
> 1_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:41

. putexcel D10=`aerobic_f_cr1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 5:08:41

. putexcel E2=`aerobic_f_cr12_race0' E4=`aerobic_f_cr12_race1' E6=`aerobic_f_cr12_race3' E8=`aerobic_f_cr12_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.05 5:08:41

. putexcel F2="`aerobic_f_cr2_race0_est'" F3="`aerobic_f_cr2_race0_se'" F4="`aerobic_f_cr2_race1_est'" F5="`aerobic_f_cr
> 2_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:41

. putexcel F6="`aerobic_f_cr2_race3_est'" F7="`aerobic_f_cr2_race3_se'" F8="`aerobic_f_cr2_race4_est'" F9="`aerobic_f_cr
> 2_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:42

. putexcel F10=`aerobic_f_cr2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.05 5:08:42

. putexcel G2="`aerobic_f_cr3_race0_est'" G3="`aerobic_f_cr3_race0_se'" G4="`aerobic_f_cr3_race1_est'" G5="`aerobic_f_cr
> 3_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.01 5:08:42

. putexcel G6="`aerobic_f_cr3_race3_est'" G7="`aerobic_f_cr3_race3_se'" G8="`aerobic_f_cr3_race4_est'" G9="`aerobic_f_cr
> 3_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 5:08:42

. putexcel G10=`aerobic_f_cr3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:42

. putexcel H2=`aerobic_f_cr32_race0' H4=`aerobic_f_cr32_race1' H6=`aerobic_f_cr32_race3' H8=`aerobic_f_cr32_race4', nfor
> mat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/aerobic_region_vsHawaii_f.xlsx saved
r; t=0.03 5:08:42

. putexcel close
r; t=0.00 5:08:42

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among women in Eastern US
. lincom _b[exe_strength_advice_f_cr0:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr0]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.10364   .1863812     0.58   0.559     .7926429    1.536659
------------------------------------------------------------------------------
r; t=0.22 5:08:42

. matrix strength_f_cr0_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr0_race0_se="(" + string(strength_f_cr0_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr0_race0_p=strength_f_cr0_race0[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr0_race0_p'<0.001 {
.         local strength_f_cr0_race0_est=string(strength_f_cr0_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr0_race0_p'<0.01 {
.         local strength_f_cr0_race0_est=string(strength_f_cr0_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr0_race0_p'<0.05 {
.         local strength_f_cr0_race0_est=string(strength_f_cr0_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr0_race0_est=string(strength_f_cr0_race0[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr0:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr0]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.204081   .2203832     1.01   0.310     .8411237    1.723659
------------------------------------------------------------------------------
r; t=0.04 5:08:42

. matrix strength_f_cr0_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr0_race1_se="(" + string(strength_f_cr0_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr0_race1_p=strength_f_cr0_race1[3,1]
r; t=0.01 5:08:42

. if `strength_f_cr0_race1_p'<0.001 {
.         local strength_f_cr0_race1_est=string(strength_f_cr0_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr0_race1_p'<0.01 {
.         local strength_f_cr0_race1_est=string(strength_f_cr0_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr0_race1_p'<0.05 {
.         local strength_f_cr0_race1_est=string(strength_f_cr0_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr0_race1_est=string(strength_f_cr0_race1[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr0:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr0]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   3.929817   2.476495     2.17   0.030     1.142776    13.51399
------------------------------------------------------------------------------
r; t=0.04 5:08:42

. matrix strength_f_cr0_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr0_race3_se="(" + string(strength_f_cr0_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr0_race3_p=strength_f_cr0_race3[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr0_race3_p'<0.001 {
.         local strength_f_cr0_race3_est=string(strength_f_cr0_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr0_race3_p'<0.01 {
.         local strength_f_cr0_race3_est=string(strength_f_cr0_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr0_race3_p'<0.05 {
.         local strength_f_cr0_race3_est=string(strength_f_cr0_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr0_race3_est=string(strength_f_cr0_race3[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr0:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr0]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9505964   .1613235    -0.30   0.765     .6816173     1.32572
------------------------------------------------------------------------------
r; t=0.02 5:08:42

. matrix strength_f_cr0_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr0_race4_se="(" + string(strength_f_cr0_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr0_race4_p=strength_f_cr0_race4[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr0_race4_p'<0.001 {
.         local strength_f_cr0_race4_est=string(strength_f_cr0_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr0_race4_p'<0.01 {
.         local strength_f_cr0_race4_est=string(strength_f_cr0_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr0_race4_p'<0.05 {
.         local strength_f_cr0_race4_est=string(strength_f_cr0_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr0_race4_est=string(strength_f_cr0_race4[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among women in Western US
. lincom _b[exe_strength_advice_f_cr1:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr1]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9391537   .2190853    -0.27   0.788     .5945229    1.483559
------------------------------------------------------------------------------
r; t=0.05 5:08:42

. matrix strength_f_cr1_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr1_race0_se="(" + string(strength_f_cr1_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr1_race0_p=strength_f_cr1_race0[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr1_race0_p'<0.001 {
.         local strength_f_cr1_race0_est=string(strength_f_cr1_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr1_race0_p'<0.01 {
.         local strength_f_cr1_race0_est=string(strength_f_cr1_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr1_race0_p'<0.05 {
.         local strength_f_cr1_race0_est=string(strength_f_cr1_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr1_race0_est=string(strength_f_cr1_race0[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr1:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr1]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9867182    .259669    -0.05   0.959     .5890973     1.65272
------------------------------------------------------------------------------
r; t=0.02 5:08:42

. matrix strength_f_cr1_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr1_race1_se="(" + string(strength_f_cr1_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr1_race1_p=strength_f_cr1_race1[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr1_race1_p'<0.001 {
.         local strength_f_cr1_race1_est=string(strength_f_cr1_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr1_race1_p'<0.01 {
.         local strength_f_cr1_race1_est=string(strength_f_cr1_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr1_race1_p'<0.05 {
.         local strength_f_cr1_race1_est=string(strength_f_cr1_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr1_race1_est=string(strength_f_cr1_race1[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr1:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr1]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.078003   .9952159     1.53   0.127     .8127946    5.312656
------------------------------------------------------------------------------
r; t=0.03 5:08:42

. matrix strength_f_cr1_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr1_race3_se="(" + string(strength_f_cr1_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr1_race3_p=strength_f_cr1_race3[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr1_race3_p'<0.001 {
.         local strength_f_cr1_race3_est=string(strength_f_cr1_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr1_race3_p'<0.01 {
.         local strength_f_cr1_race3_est=string(strength_f_cr1_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr1_race3_p'<0.05 {
.         local strength_f_cr1_race3_est=string(strength_f_cr1_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr1_race3_est=string(strength_f_cr1_race3[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr1:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr1]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6534679     .15318    -1.82   0.070     .4127557    1.034559
------------------------------------------------------------------------------
r; t=0.02 5:08:42

. matrix strength_f_cr1_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr1_race4_se="(" + string(strength_f_cr1_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr1_race4_p=strength_f_cr1_race4[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr1_race4_p'<0.001 {
.         local strength_f_cr1_race4_est=string(strength_f_cr1_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr1_race4_p'<0.01 {
.         local strength_f_cr1_race4_est=string(strength_f_cr1_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr1_race4_p'<0.05 {
.         local strength_f_cr1_race4_est=string(strength_f_cr1_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr1_race4_est=string(strength_f_cr1_race4[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among women in Hawaii
. lincom _b[exe_strength_advice_f_cr2:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.589422   .2165022     3.40   0.001     1.217008    2.075799
------------------------------------------------------------------------------
r; t=0.02 5:08:42

. matrix strength_f_cr2_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr2_race0_se="(" + string(strength_f_cr2_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr2_race0_p=strength_f_cr2_race0[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr2_race0_p'<0.001 {
.         local strength_f_cr2_race0_est=string(strength_f_cr2_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr2_race0_p'<0.01 {
.         local strength_f_cr2_race0_est=string(strength_f_cr2_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr2_race0_p'<0.05 {
.         local strength_f_cr2_race0_est=string(strength_f_cr2_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr2_race0_est=string(strength_f_cr2_race0[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr2:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.469585   .2693411     2.10   0.036     1.026099    2.104751
------------------------------------------------------------------------------
r; t=0.01 5:08:42

. matrix strength_f_cr2_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr2_race1_se="(" + string(strength_f_cr2_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr2_race1_p=strength_f_cr2_race1[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr2_race1_p'<0.001 {
.         local strength_f_cr2_race1_est=string(strength_f_cr2_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr2_race1_p'<0.01 {
.         local strength_f_cr2_race1_est=string(strength_f_cr2_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr2_race1_p'<0.05 {
.         local strength_f_cr2_race1_est=string(strength_f_cr2_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr2_race1_est=string(strength_f_cr2_race1[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr2:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8825643   .1392562    -0.79   0.429     .6477966    1.202414
------------------------------------------------------------------------------
r; t=0.02 5:08:42

. matrix strength_f_cr2_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr2_race3_se="(" + string(strength_f_cr2_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr2_race3_p=strength_f_cr2_race3[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr2_race3_p'<0.001 {
.         local strength_f_cr2_race3_est=string(strength_f_cr2_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr2_race3_p'<0.01 {
.         local strength_f_cr2_race3_est=string(strength_f_cr2_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr2_race3_p'<0.05 {
.         local strength_f_cr2_race3_est=string(strength_f_cr2_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr2_race3_est=string(strength_f_cr2_race3[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr2:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.040206     .13862     0.30   0.767     .8010996     1.35068
------------------------------------------------------------------------------
r; t=0.01 5:08:42

. matrix strength_f_cr2_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr2_race4_se="(" + string(strength_f_cr2_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr2_race4_p=strength_f_cr2_race4[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr2_race4_p'<0.001 {
.         local strength_f_cr2_race4_est=string(strength_f_cr2_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr2_race4_p'<0.01 {
.         local strength_f_cr2_race4_est=string(strength_f_cr2_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr2_race4_p'<0.05 {
.         local strength_f_cr2_race4_est=string(strength_f_cr2_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr2_race4_est=string(strength_f_cr2_race4[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. 
. 
. 
. 
. *Meeting muscle strengthening recommendation among women in Guam
. lincom _b[exe_strength_advice_f_cr3:0.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.213475   .4748528     3.70   0.000     1.453676    3.370401
------------------------------------------------------------------------------
r; t=0.01 5:08:42

. matrix strength_f_cr3_race0=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr3_race0_se="(" + string(strength_f_cr3_race0[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr3_race0_p=strength_f_cr3_race0[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr3_race0_p'<0.001 {
.         local strength_f_cr3_race0_est=string(strength_f_cr3_race0[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr3_race0_p'<0.01 {
.         local strength_f_cr3_race0_est=string(strength_f_cr3_race0[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr3_race0_p'<0.05 {
.         local strength_f_cr3_race0_est=string(strength_f_cr3_race0[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr3_race0_est=string(strength_f_cr3_race0[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr3:1.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.298572   .6804596     0.50   0.618     .4649764    3.626614
------------------------------------------------------------------------------
r; t=0.02 5:08:42

. matrix strength_f_cr3_race1=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr3_race1_se="(" + string(strength_f_cr3_race1[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr3_race1_p=strength_f_cr3_race1[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr3_race1_p'<0.001 {
.         local strength_f_cr3_race1_est=string(strength_f_cr3_race1[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr3_race1_p'<0.01 {
.         local strength_f_cr3_race1_est=string(strength_f_cr3_race1[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr3_race1_p'<0.05 {
.         local strength_f_cr3_race1_est=string(strength_f_cr3_race1[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr3_race1_est=string(strength_f_cr3_race1[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. 
. lincom _b[exe_strength_advice_f_cr3:3.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8919639   .2098955    -0.49   0.627     .5623979    1.414656
------------------------------------------------------------------------------
r; t=0.01 5:08:42

. matrix strength_f_cr3_race3=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr3_race3_se="(" + string(strength_f_cr3_race3[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr3_race3_p=strength_f_cr3_race3[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr3_race3_p'<0.001 {
.         local strength_f_cr3_race3_est=string(strength_f_cr3_race3[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr3_race3_p'<0.01 {
.         local strength_f_cr3_race3_est=string(strength_f_cr3_race3[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr3_race3_p'<0.05 {
.         local strength_f_cr3_race3_est=string(strength_f_cr3_race3[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr3_race3_est=string(strength_f_cr3_race3[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. 
. lincom _b[exe_strength_advice_f_cr3:4.praceethnicgp_multi_sim], eform

 ( 1)  [exe_strength_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.175258    .183717     1.03   0.302     .8651125     1.59659
------------------------------------------------------------------------------
r; t=0.01 5:08:42

. matrix strength_f_cr3_race4=(`r(estimate)' \ `r(se)' \ `r(p)')
r; t=0.00 5:08:42

. local strength_f_cr3_race4_se="(" + string(strength_f_cr3_race4[2,1], "%3.2f") + ")"
r; t=0.00 5:08:42

. local strength_f_cr3_race4_p=strength_f_cr3_race4[3,1]
r; t=0.00 5:08:42

. if `strength_f_cr3_race4_p'<0.001 {
.         local strength_f_cr3_race4_est=string(strength_f_cr3_race4[1,1], "%3.2f") + "***"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr3_race4_p'<0.01 {
.         local strength_f_cr3_race4_est=string(strength_f_cr3_race4[1,1], "%3.2f") + "**"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else if `strength_f_cr3_race4_p'<0.05 {
.         local strength_f_cr3_race4_est=string(strength_f_cr3_race4[1,1], "%3.2f") + "*"
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. else {
.         local strength_f_cr3_race4_est=string(strength_f_cr3_race4[1,1], "%3.2f")
r; t=0.00 5:08:42
. }
r; t=0.00 5:08:42

. 
. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Guam and other census regions
. lincom _b[exe_strength_advice_f_cr0:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]0.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .4986007   .1378337    -2.52   0.012     .2900318    .8571565
------------------------------------------------------------------------------
r; t=0.02 5:08:42

. local strength_f_cr03_race0=`r(p)'
r; t=0.00 5:08:42

. 
. lincom _b[exe_strength_advice_f_cr0:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]1.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9272344    .515055    -0.14   0.892     .3121536    2.754297
------------------------------------------------------------------------------
r; t=0.01 5:08:42

. local strength_f_cr03_race1=`r(p)'
r; t=0.00 5:08:42

. 
. lincom _b[exe_strength_advice_f_cr0:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]3.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   4.405803   2.959969     2.21   0.027     1.180751    16.43963
------------------------------------------------------------------------------
r; t=0.03 5:08:42

. local strength_f_cr03_race3=`r(p)'
r; t=0.00 5:08:42

. 
. lincom _b[exe_strength_advice_f_cr0:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]4.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8088409   .1867747    -0.92   0.358     .5144065    1.271803
------------------------------------------------------------------------------
r; t=0.01 5:08:42

. local strength_f_cr03_race4=`r(p)'
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]0.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .4242893   .1342754    -2.71   0.007     .2281817    .7889388
------------------------------------------------------------------------------
r; t=0.02 5:08:42

. local strength_f_cr13_race0=`r(p)'
r; t=0.00 5:08:42

. 
. lincom _b[exe_strength_advice_f_cr1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]1.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7598485   .4460847    -0.47   0.640     .2404424    2.401281
------------------------------------------------------------------------------
r; t=0.01 5:08:42

. local strength_f_cr13_race1=`r(p)'
r; t=0.00 5:08:42

. 
. lincom _b[exe_strength_advice_f_cr1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]3.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.329695   1.241084     1.59   0.112     .8200551    6.618429
------------------------------------------------------------------------------
r; t=0.01 5:08:42

. local strength_f_cr13_race3=`r(p)'
r; t=0.00 5:08:42

. 
. lincom _b[exe_strength_advice_f_cr1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]4.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .556021   .1567489    -2.08   0.037     .3199832    .9661737
------------------------------------------------------------------------------
r; t=0.01 5:08:42

. local strength_f_cr13_race4=`r(p)'
r; t=0.00 5:08:42

. 
. 
. lincom _b[exe_strength_advice_f_cr2:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr2]0.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .7180666   .1819463    -1.31   0.191     .4370026    1.179901
------------------------------------------------------------------------------
r; t=0.02 5:08:42

. local strength_f_cr23_race0=`r(p)'
r; t=0.00 5:08:42

. 
. lincom _b[exe_strength_advice_f_cr2:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr2]1.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.131693     .62923     0.22   0.824     .3805868    3.365145
------------------------------------------------------------------------------
r; t=0.02 5:08:42

. local strength_f_cr23_race1=`r(p)'
r; t=0.00 5:08:42

. 
. lincom _b[exe_strength_advice_f_cr2:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr2]3.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9894619   .2803665    -0.04   0.970     .5678175    1.724207
------------------------------------------------------------------------------
r; t=0.02 5:08:42

. local strength_f_cr23_race3=`r(p)'
r; t=0.00 5:08:42

. 
. lincom _b[exe_strength_advice_f_cr2:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr3:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr2]4.praceethnicgp_multi_sim - [exe_strength_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    .885088   .1820379    -0.59   0.553     .5914497    1.324509
------------------------------------------------------------------------------
r; t=0.01 5:08:42

. local strength_f_cr23_race4=`r(p)'
r; t=0.00 5:08:42

. 
. 
. 
. *Store the number of observations in each model
. matrix `mname'_obs=e(_N)
r; t=0.00 5:08:42

. local strength_f_cr0_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f_cr0")]
r; t=0.00 5:08:42

. local strength_f_cr1_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f_cr1")]
r; t=0.00 5:08:42

. local strength_f_cr2_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f_cr2")]
r; t=0.00 5:08:42

. local strength_f_cr3_obs=`mname'_obs[1,colnumb(`mname'_obs,"exe_strength_advice_f_cr3")]
r; t=0.00 5:08:42

. 
. 
. /*
> matrix Output=(strength_f_cr0_race0, strength_f_cr03_race0, strength_f_cr1_race0, strength_f_cr13_race0, strength_f_cr
> 2_race0, strength_f_cr23_race0, strength_f_cr3_race0 \ ///
> strength_f_cr0_race1, strength_f_cr03_race1, strength_f_cr1_race1, strength_f_cr13_race1, strength_f_cr2_race1, streng
> th_f_cr23_race1, strength_f_cr3_race1 \ ///
> strength_f_cr0_race3, strength_f_cr03_race3, strength_f_cr1_race3, strength_f_cr13_race3, strength_f_cr2_race3, streng
> th_f_cr23_race3, strength_f_cr3_race3 \ ///
> strength_f_cr0_race4, strength_f_cr03_race4, strength_f_cr1_race4, strength_f_cr13_race4, strength_f_cr2_race4, streng
> th_f_cr23_race4, strength_f_cr3_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.00 5:08:42

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Guam estimates (p-value)") D1=("Esti
> mates in West coast") E1=("Wald test with corresponding Guam estimates (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.01 5:08:42

. putexcel F1=("Estimates in Hawaii") G1=("Wald test with corresponding Guam estimates (p-value)") H1=("Estimates in Gua
> m")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:42

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.01 5:08:43

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 5:08:43

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel B2="`strength_f_cr0_race0_est'" B3="`strength_f_cr0_race0_se'" B4="`strength_f_cr0_race1_est'" B5="`strength_
> f_cr0_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel B6="`strength_f_cr0_race3_est'" B7="`strength_f_cr0_race3_se'" B8="`strength_f_cr0_race4_est'" B9="`strength_
> f_cr0_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 5:08:43

. putexcel B10=`strength_f_cr0_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel C2=`strength_f_cr03_race0' C4=`strength_f_cr03_race1' C6=`strength_f_cr03_race3' C8=`strength_f_cr03_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 5:08:43

. putexcel D2="`strength_f_cr1_race0_est'" D3="`strength_f_cr1_race0_se'" D4="`strength_f_cr1_race1_est'" D5="`strength_
> f_cr1_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 5:08:43

. putexcel D6="`strength_f_cr1_race3_est'" D7="`strength_f_cr1_race3_se'" D8="`strength_f_cr1_race4_est'" D9="`strength_
> f_cr1_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 5:08:43

. putexcel D10=`strength_f_cr1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel E2=`strength_f_cr13_race0' E4=`strength_f_cr13_race1' E6=`strength_f_cr13_race3' E8=`strength_f_cr13_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.03 5:08:43

. putexcel F2="`strength_f_cr2_race0_est'" F3="`strength_f_cr2_race0_se'" F4="`strength_f_cr2_race1_est'" F5="`strength_
> f_cr2_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel F6="`strength_f_cr2_race3_est'" F7="`strength_f_cr2_race3_se'" F8="`strength_f_cr2_race4_est'" F9="`strength_
> f_cr2_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel F10=`strength_f_cr2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel G2=`strength_f_cr23_race0' G4=`strength_f_cr23_race1' G6=`strength_f_cr23_race3' G8=`strength_f_cr23_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel H2="`strength_f_cr3_race0_est'" H3="`strength_f_cr3_race0_se'" H4="`strength_f_cr3_race1_est'" H5="`strength_
> f_cr3_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel H6="`strength_f_cr3_race3_est'" H7="`strength_f_cr3_race3_se'" H8="`strength_f_cr3_race4_est'" H9="`strength_
> f_cr3_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.01 5:08:43

. putexcel H10=`strength_f_cr3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsGuam_f.xlsx saved
r; t=0.02 5:08:43

. putexcel close
r; t=0.00 5:08:43

. 
. 
. 
. 
. 
. 
. *Test if the differences between NHPI and each racial/ethnic group between Hawaii and other census regions
. lincom _b[exe_strength_advice_f_cr0:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]0.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6943655   .1513055    -1.67   0.094     .4530093    1.064312
------------------------------------------------------------------------------
r; t=0.02 5:08:43

. local strength_f_cr02_race0=`r(p)'
r; t=0.00 5:08:43

. 
. lincom _b[exe_strength_advice_f_cr0:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]1.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8193336   .2116187    -0.77   0.440     .4938681    1.359285
------------------------------------------------------------------------------
r; t=0.02 5:08:43

. local strength_f_cr02_race1=`r(p)'
r; t=0.00 5:08:43

. 
. lincom _b[exe_strength_advice_f_cr0:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]3.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   4.452727   2.894749     2.30   0.022      1.24524    15.92204
------------------------------------------------------------------------------
r; t=0.02 5:08:43

. local strength_f_cr02_race3=`r(p)'
r; t=0.00 5:08:43

. 
. lincom _b[exe_strength_advice_f_cr0:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr0]4.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .9138537   .1982408    -0.42   0.678      .597347    1.398063
------------------------------------------------------------------------------
r; t=0.01 5:08:43

. local strength_f_cr02_race4=`r(p)'
r; t=0.00 5:08:43

. 
. 
. lincom _b[exe_strength_advice_f_cr1:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]0.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .5908774   .1595258    -1.95   0.051     .3480877    1.003012
------------------------------------------------------------------------------
r; t=0.02 5:08:43

. local strength_f_cr12_race0=`r(p)'
r; t=0.00 5:08:43

. 
. lincom _b[exe_strength_advice_f_cr1:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]1.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6714262   .2152282    -1.24   0.214     .3582136    1.258504
------------------------------------------------------------------------------
r; t=0.02 5:08:43

. local strength_f_cr12_race1=`r(p)'
r; t=0.00 5:08:43

. 
. lincom _b[exe_strength_advice_f_cr1:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]3.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   2.354507    1.18626     1.70   0.089     .8770868    6.320584
------------------------------------------------------------------------------
r; t=0.01 5:08:43

. local strength_f_cr12_race3=`r(p)'
r; t=0.00 5:08:43

. 
. lincom _b[exe_strength_advice_f_cr1:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  [exe_strength_advice_f_cr1]4.praceethnicgp_multi_sim - [exe_strength_advice_f_cr2]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .6282099   .1692766    -1.73   0.084     .3704596    1.065292
------------------------------------------------------------------------------
r; t=0.03 5:08:43

. local strength_f_cr12_race4=`r(p)'
r; t=0.00 5:08:43

. 
. 
. lincom _b[exe_strength_advice_f_cr3:0.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:0.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_f_cr2]0.praceethnicgp_multi_sim + [exe_strength_advice_f_cr3]0.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.392628   .3528692     1.31   0.191     .8475289    2.288316
------------------------------------------------------------------------------
r; t=0.01 5:08:43

. local strength_f_cr32_race0=`r(p)'
r; t=0.00 5:08:43

. 
. lincom _b[exe_strength_advice_f_cr3:1.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:1.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_f_cr2]1.praceethnicgp_multi_sim + [exe_strength_advice_f_cr3]1.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   .8836317   .4913059    -0.22   0.824      .297164    2.627521
------------------------------------------------------------------------------
r; t=0.02 5:08:43

. local strength_f_cr32_race1=`r(p)'
r; t=0.00 5:08:43

. 
. lincom _b[exe_strength_advice_f_cr3:3.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:3.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_f_cr2]3.praceethnicgp_multi_sim + [exe_strength_advice_f_cr3]3.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |    1.01065   .2863703     0.04   0.970     .5799768    1.761129
------------------------------------------------------------------------------
r; t=0.01 5:08:43

. local strength_f_cr32_race3=`r(p)'
r; t=0.00 5:08:43

. 
. lincom _b[exe_strength_advice_f_cr3:4.praceethnicgp_multi_sim]-_b[exe_strength_advice_f_cr2:4.praceethnicgp_multi_sim]
> , eform

 ( 1)  - [exe_strength_advice_f_cr2]4.praceethnicgp_multi_sim + [exe_strength_advice_f_cr3]4.praceethnicgp_multi_sim = 0

------------------------------------------------------------------------------
             |     exp(b)   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         (1) |   1.129831   .2323748     0.59   0.553     .7549965    1.690761
------------------------------------------------------------------------------
r; t=0.08 5:08:43

. local strength_f_cr32_race4=`r(p)'
r; t=0.00 5:08:43

. 
. 
. /*
> matrix Output=(strength_f_cr0_race0, strength_f_cr02_race0, strength_f_cr1_race0, strength_f_cr12_race0, strength_f_cr
> 2_race0, strength_f_cr3_race0, strength_f_cr32_race0 \ ///
> strength_f_cr0_race1, strength_f_cr02_race1, strength_f_cr1_race1, strength_f_cr12_race1, strength_f_cr2_race1, streng
> th_f_cr3_race1, strength_f_cr32_race1 \ ///
> strength_f_cr0_race3, strength_f_cr02_race3, strength_f_cr1_race3, strength_f_cr12_race3, strength_f_cr2_race3, streng
> th_f_cr3_race3, strength_f_cr32_race3 \ ///
> strength_f_cr0_race4, strength_f_cr02_race4, strength_f_cr1_race4, strength_f_cr12_race4, strength_f_cr2_race4, streng
> th_f_cr3_race4, strength_f_cr32_race4)
> matrix list Output
> */
. putexcel set "model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f", replace
Note: file will be replaced when the first putexcel command is issued
r; t=0.01 5:08:43

. putexcel A1=("") B1=("Estimates in Eastern US") C1=("Wald test with corresponding Hawaii estimates (p-value)") D1=("Es
> timates in West coast") E1=("Wald test with corresponding Hawaii estimates (p-value)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:43

. putexcel F1=("Estimates in Hawaii") G1=("Estimates in Guam") H1=("Wald test with corresponding Hawaii estimates (p-val
> ue)")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.01 5:08:43

. putexcel A2=("nHwhite (single) Odds ratio") A3=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.04 5:08:43

. putexcel A4=("nHwhite (multirace) Odds ratio") A5=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:43

. putexcel A6=("NHPI (multirace) Odds ratio") A7=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.03 5:08:43

. putexcel A8=("other racial/ethnic groups Odds ratio") A9=("SE")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:43

. putexcel A10=("No. of observations")
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.05 5:08:43

. putexcel B2="`strength_f_cr0_race0_est'" B3="`strength_f_cr0_race0_se'" B4="`strength_f_cr0_race1_est'" B5="`strength_
> f_cr0_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:43

. putexcel B6="`strength_f_cr0_race3_est'" B7="`strength_f_cr0_race3_se'" B8="`strength_f_cr0_race4_est'" B9="`strength_
> f_cr0_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.05 5:08:44

. putexcel B10=`strength_f_cr0_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.01 5:08:44

. putexcel C2=`strength_f_cr02_race0' C4=`strength_f_cr02_race1' C6=`strength_f_cr02_race3' C8=`strength_f_cr02_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.04 5:08:44

. putexcel D2="`strength_f_cr1_race0_est'" D3="`strength_f_cr1_race0_se'" D4="`strength_f_cr1_race1_est'" D5="`strength_
> f_cr1_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.03 5:08:44

. putexcel D6="`strength_f_cr1_race3_est'" D7="`strength_f_cr1_race3_se'" D8="`strength_f_cr1_race4_est'" D9="`strength_
> f_cr1_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:44

. putexcel D10=`strength_f_cr1_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.05 5:08:44

. putexcel E2=`strength_f_cr12_race0' E4=`strength_f_cr12_race1' E6=`strength_f_cr12_race3' E8=`strength_f_cr12_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.01 5:08:44

. putexcel F2="`strength_f_cr2_race0_est'" F3="`strength_f_cr2_race0_se'" F4="`strength_f_cr2_race1_est'" F5="`strength_
> f_cr2_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.04 5:08:44

. putexcel F6="`strength_f_cr2_race3_est'" F7="`strength_f_cr2_race3_se'" F8="`strength_f_cr2_race4_est'" F9="`strength_
> f_cr2_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.10 5:08:44

. putexcel F10=`strength_f_cr2_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.06 5:08:44

. putexcel G2="`strength_f_cr3_race0_est'" G3="`strength_f_cr3_race0_se'" G4="`strength_f_cr3_race1_est'" G5="`strength_
> f_cr3_race1_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.24 5:08:44

. putexcel G6="`strength_f_cr3_race3_est'" G7="`strength_f_cr3_race3_se'" G8="`strength_f_cr3_race4_est'" G9="`strength_
> f_cr3_race4_se'"
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.02 5:08:44

. putexcel G10=`strength_f_cr3_obs'
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.03 5:08:44

. putexcel H2=`strength_f_cr32_race0' H4=`strength_f_cr32_race1' H6=`strength_f_cr32_race3' H8=`strength_f_cr32_race4', 
> nformat(0.000)
file model/brfss2015-2019-MI-pathanalysis-tableoutput/strength_region_vsHawaii_f.xlsx saved
r; t=0.03 5:08:44

. putexcel close
r; t=0.01 5:08:44

. **************************************Whether differences in exercises between NHPI and other racial/ethnic groups var
> y between census regions Start****************************************************
. 
. 
. 
. 
. 
. log close
      name:  <unnamed>
       log:  C:\Users\Ben\Desktop\HKU Postdoc\Project\NHPI-exercise\Posted\NHPI-exercise Replication Package\20250825-br
> fss2015-2019-MI-pathanalysis-tableoutput.log
  log type:  text
 closed on:  29 Aug 2025, 05:08:44
------------------------------------------------------------------------------------------------------------------------
